CA2121245A1 - Health care management system - Google Patents

Health care management system

Info

Publication number
CA2121245A1
CA2121245A1 CA002121245A CA2121245A CA2121245A1 CA 2121245 A1 CA2121245 A1 CA 2121245A1 CA 002121245 A CA002121245 A CA 002121245A CA 2121245 A CA2121245 A CA 2121245A CA 2121245 A1 CA2121245 A1 CA 2121245A1
Authority
CA
Canada
Prior art keywords
treatment
guideline
health care
individual
providing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002121245A
Other languages
French (fr)
Inventor
Gary Thomas Mcilroy
Julie Ellen Kees
Jacquelyn Ann Kalscheuer
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Health Risk Management Inc
Original Assignee
Individual
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Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2121245A1 publication Critical patent/CA2121245A1/en
Abandoned legal-status Critical Current

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Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/20ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A health care management system for use by hospitals, physicians, insurance companies, health maintenance organizations, and others in the health care field includes a processing unit (302) and health condition guidelines. A user imputs information (304) related to the health condition of an individual and guideline-recommended treatments are identified. The user also inputs (304) actual or proposed treatments for the same individual. The resulting comparative information can be used to modify the actual or proposed treatment, or provide explanatory information as to reasons for the difference between actual/proposed and guideline recommended treatment. Also, the comparative information can be used by a reviewer for evaluation or utilization purposes.

Description

WO 94~00817 2 1 2 1 ~ 4 ~ PCI`/l 'S93/061~4 HEALTH CARE MANAGEMENT SYSTEM

BACKGRO~D OF THE INVENTION
The present invention pertains to the field of data processing systems for health care management. More specifically, ~e present invention pertains to a health care management data pro~essing system hr use by hospitals, physicians, insurance companies, health Ix~tenance organi;zations (HMO's)j and others in the health care field to serve as a diagnostdc, evaluation, and utilization tool for health care pro~nded to individuals. The system is implemented in computer hardware and ~5 software.
.I Due to the ine~ing complexity and cost of providing heal~ care, there is an ever increasing emphasis on managing the health care process.
The process extends ~om an individual presen~ng a health concern to a ~: health eare provide~ and: continues tl~-ough diagnosis" ~erapeu~dc ,' 3û selec~on, resource se~ecticsn, ~eatment, and ~llow-up. T~is process could ,~ : be ~tended further to include proactively identifying or preven~rlg h~alth conce~ns and plar~ing for anticipated resour~e needs at one end of ,~ the p~ocess, and daily nursing management and disability management at `~ th2 o~her e~d of the:process.
:~: 35 Previous ef~orts to manage health care induded manual-historical 'i'``:'!~": systems where indindual files recording actu~l treatment provided were manually reYiewed to collect statistics on general categolies of care or to i `~ i ~3UE~STITUTE SHEET

~VO 94/00817 2 1212 4 a PCI/I,IS93/06104 review the appropriateness of treatment in a g~ven case. Such methods are labor-intensive and inefficient. Efforts have been made to standardize dah collection forms, descriptions of conditions, descriptions of treatment, and treatments in order to more efficiently collect and evaluate hea~th care 5 data. Other efforts have been made to automate the analysis of histor~cal health care data for persons with particular health care conditions. These efforts focus mainly on collecting financial data and serve accounting and administrative functions.
At least one known automated prior art health care management 10 system addresses therapeutic selection by starting with a selected treatment and, based on patient information provided by the user, evaluating whether or not that treatment is appropriate. See "Guideline-bas~d Ulilization Management Program", Benefits Ouarterly (4th Quarter 1991) These systems do not develop a recommended treatment based on various 15 data describing an individual's health condition; the user must first select a predefined treatment. Also, these systems do not have the flexibiliq to modUy or add treatments based on an~ individual's changing health condition. Further, these systems~ do not have an integral component whereby explanatory information is elicited~from the health care provider ; 20 or n:viewer~to fadlltate analysls of the~differenoe between actual or proposed treatment; and recD=ded treatment.
It would be~ a~ decided ~improvement over the prior art to have a health care management data~ prooessing system~ that could be used by various he~lth care partiapants, includirig doctors, nurses, health care 25 adminis~ators, payor~ administrators, employers, and evaluators at multiple stages of ~e healt~i care prooess. It would be a furt~er improvement for such~a system to collect information on individuals ;~- ; having a ~ealth concern, to gu~de the user to a recommended treatment `:: : :
based on the infonna~on collected and to compare an actual or proposed :~ `: ~ : :: :
30 treatment with the recommended trea~nt. The prior art systems also leave an unsatisfied need~ for~explanatory information on differenoes between the actual/proposed treatment and a recommended ~eatment : ~ ~ SUBSTITUTE SHEET

WO 94~00817 2 1 2 1 2 4 5 PCI/US93/06104 3,, and for obta~n~ng sytematic rev~ewer input as to any differences between the actual/proposed treatment and a recommended treatment.
It would be a further improvernent over the prior art for such a system to permit continuous updating and modification of the experience S base, using the information inputed into the prooess for each case. For exarnple, the inhrmation on actual treatment provided can be used to reassess the decision path for recommended treatlnents.
A system implementing the above process should ideally have several qualities. It should be cost-effective, i.e., lead to reducing the total10 cost of health care. It should be usable in real-time, i.e., the information input into the system should be i2~unediately prooessed and available for ,i:! fur~er use. It should be interactive, a~lowing a variety of health care participants (doctors, nurses, administrators, quality evaluators) to , understand and ef~ively use the system. It should be flexible enough to ~`1 15 adapt to changes in and evolution of health care professional knowledge and health care treatment~ methods.
A health care management data processing system designed to manage the health care p~s, using a data base of health care records and health condition guidelines, that includes providing diagnosis, evaluation, and utilization information, would be a decided improvement over the~prior art.
SUMMARY~OF THE ~VI~TION
To overcome these and ~other problerns in the prior art, the present invention provides~a hcalth care management data pro~essing system that is a real-time, interactive system to manage the health care proccss desaibed above. Thè systern can b~ used by hospitals, physicians, insurance comp~es,~ HMO's, and others in the health care field to promote cost-effec~ve~health care.
The present invention builds from a data base of trea~anent guidelines developed~by~ medical professionals and provides a diagnosis-`q;~ based system ~at can be uæd during various steps of the clinical decision process: (1) prospectively, before treatrnent, when an individual presents a ''', ~
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wO ~4/008I7 2 1 2 1 2 4 ~ PCr/~'Sg3/06104 health concern; (2) concurrently, at any stage of existing trea'anent; and (3) retrospe~tively, after treatment has been provided. The treatment guidelines are structured to work with an interactive question and answer methodology that ensures that the most appropriate data are collected and 5 guites the user through the complex medical evaluation process. This is done by presenting questions in a logically-structured order, leading to guideline-recommended treatment. The information retained by the system allows for a consistent, efficient review process. Variances between actual or proposed and guideline-reco~runended treatment can be used for 10 quality assurance and audit purposes. Also, cross-speaalty review is hcilitated.
Accor'~ing to the present invention, there is provided a processing unit and software-implemented health condition treatment guidelines. A
user inputs an individual's hedth data into a new or existing case file in 15 response to inq ~iries implemented in a health-condition specific guideline. Through the interactive guideline query-response process, a guideLine-recommended treatment~ (or treatments) is obtained. The user may adopt or accept;the guideline recommended treatment or input an actual or proposed~ treatment that is different. Discrepancies between 20 actual/proposed and guideline-recommended treatment are identified and the user~s choioe Isl documented through interactive queries. Once a treatment is selected, ~e case in ormation is added to the dah base and an additional reviewer can anal~r~e the f e.; The case may be re-opened, and ,' ~ changes may be made at any stage in the process to reflect new conditions, 25 or new or modified ~ treatments.
BRIEF DESCRlPrlON OP THE DR~4W~JGS
Figure 1 is a block diagram of the system of the present invention.
Figure 2 is an excerpt~fr:om~a medical category index to the guideline ;~; database. ~ ~
; ~ igure 3 is an excerpt from a diagnosis code-based index to guidelines.

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31JBSTITVTE S~EET
2 1 2 1 2 4 ~ PCrll,'S93/06104 Figure 4 is an excerpt from the guideline data base, showing a guideline question ant navigation structure.
Figu~e 5 is another excerpt from the guideline data bæ, showing another guideline question and navigation structure, illustrating a path to 5 a different guideline.
Figure 6 is another excerpt from the guideline data base, showing a guideline question and navigation structure, illustrating how a previously selected answer can pin with a current answer to identify the next step.
Pigure 7 is an example of a guideline recommendation data base 10 item.
Figure 8 is an excerpt from the guideline procedure file.
Figure 9a is a flow chart of the guideline development process.
Pigure 9b ~s a flow chart of the dinical decision process.
Figure 10 shows the medical category screen menu used to acoess 15 the guidelines.
i Figure l l shows a screen l;.s~ng of titles some of the guidelines for selected medical conditions within the cardiovascular/respiratory medical category. ;
Pigure 12a shows a sneen used to access guidelines by diagnosis code.
j ~ Figure 12b shows a screen used to acoess guidelines by treatment : ~ text. . ; ~
Figure 13 shows a~screen used ~to open a guideline prooess after guideline sel~ don. j ~
Flgure 14 shows a saeen with examples of the question/answer prooess for u~lizing the guideline for the diagnosis of thr~mbophlebitis.
Flgure 15~ shows~ a seen identUying guideline recommended treatment for a ~rombophlebitis case, overlaid with a speaalty review box.
Figure 16 shows a~screen identifying guideline re~mmended trea~nent, pro~ ~ treatrnents, and f~nal recommendation treatrnent for a thrombophleMbs~case.~

:; .

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wO 94/008l7 2 1 2 1 2 4 5 PCT/IJS93/06l04 Figure 17 shows a screen used for speaalist's review of a case exhibiting variances between proposed and final recommended treatment.
Pigure 18 is a flow chart of the guideline for treatrnent of thrombophlebitis.
ç S DETAILED DESCRIPIIONOFTHE PREFERRED EMBODIMENT
A. Hardware/Software System Overview The present system is shown in general block-diagram form in Figure 1. As seen there, the system 300 comprises a proceCcing unit or CPU
~, with main memory 302; input means 304, such as a keyboard cormected to the CPU/main memory 302; and two output devioes, a display 306 (such as a CRT or other screen device) and a printer 308, also connected to CPU/main memory. Storage devioe 310 (e.g., a disk drive) communicates with the CPU/main memory 302 and is the memory w~it for storing application software 320 and guideline data bases 330. The system 300 also indudes appropriate~ operating system software ~not shown).
The preferred implementation platfonn of the present invention is a system implemented on an IBM~compatible peKonal computer having at least four megabytès of main memory and an eighty megabyte hard disk drive, with Microsoft Windows as the us~ interfaoe~ and Paradox as the data base management software. Individual personal computers can be networked to give multiple users~ access to a comrnon dah base. The application sof~vare 320~1s written in~Mic~oft C development language.
3; ~ The application sof:tware ~320 functions as an interactive presentation tool, permitting the user ~to interactively ex~hange information with the system ¦ ~ 25 3QO. Certain session data~ are recorded to allow case audit and analysis of ! ~ s~use At the foundation of the~system 300 is a set of diagnosis-based guide~ines that are denved~from medical professional and healthcare managen~ent e~rtise.~ ~ Each guideline is associated with a particular health~ care condition for which treatment exists. Each guideline is : ~ ~
intended to lead a system user through a sequenoe of interactive data-collec~don quer es based on the spe~fied health care condition observed in :
~UBSTITUTE SHEET

wo 94/00817 2 ~ 2 1 2 4 5 Pcr/US93/06104 an individual patient. The data-collec~on queries are logically structured so that the guidelines user iden~fies pertinent pahent characteristics and is led to an endpoint that is usually one recommended treatment. However, the endpoint may also be two or more alternative treatments, a pointer to 5 a different guideline or a reconunendation for further clinical evaluation before treatment is selected.
As implemented in the system 300, a guideline can be viewed as a deci~sion tree with multiple data collection nodes, most of which have conditional branching to connected nodes based on user-supplied data.
10 The endpoints of navigation through the decision tree are usually embodied in a set of recommended treatments. The path to any recommended treatment involves one or more conditional branches.
Thus, each guideline implemented in the system 300 has a definite algorithmic struchlre that guides the user. The structure and content of 15 and pro~ess for development of guidelines are discussed in greater detail below.
The system 300 presents each guideline in a questioning logic sequence where the res~e to each question drives to the next question or to the appropriate treatment option(s). As defined in the present 20 invention, a treatment option includes an intervention and the corresponding pnmary health care resouroes u~lized in that intervention.
The data for implernenting a guideline indude, in addition to question .
; ~ text, the presentation parameters, such as the presentation order for ~e questions, and the conditional branching logic that is driven by the user's 25 responses to the gwdeline questions. Wi~ each guideline implemented as a set of data hse par~m~ters, the application software is designed as a shell used to access and; present ~e guideline content and control ~e na~ngation through the qufftio~g pro~ess.
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Once the user reaches one or more guideline-recomended 30 trea~nent options, the system 300 elicits from the uær in~ormation identifying the actual ~eatment already given or, preferably, ~e treatment proposed for the individual that presented the health ca~e condi~on. The `
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wo 94/00~l7 PCr/US93/06104 21212~5 system 300 compares the ac~al or proposed treatment against the glaidelin~
recommended treatment option(s). This comparison addresses not only ~, the intervention or procedure that is central to each treatrnent option but ~f also the several health care resource pararneters that are part of each 5 recommended treatment option (and are discussed an greater detail below). T~e system 300 develops a treatment evaluation report based on the comparison to identify discrepancies between the guideline-recommended treatment and the achaal or proposed treatment.
There are four general components to the application software 320:
10 (1) an index component that hcilitates quick access to the correct g~udeline;(2) a question component that presents the questions and controls .- navigation through the guadeline based on the user's responsesi (3) a ,~ treatment component that presents the guideline-defined treatment options, and highlights the appropriate option based on user responses to questions; and (4) ~the clinical decision component that facilitates the collection of data to support analysis of the use and irnpact of the guidelines and the tracking of guideline activity by case.
The index component u~lizes several :different data bases. The main index data bàse,~a por~on of which is shown in Figure 2, inducaes: a field 10 wath two dagit numb0 that identify one or more medical categories; a field ~1 1 containing a textual description for each medical calegy; a field 12 cont~ining two digit numbeK each of which identafies o ne o~ multiple gwdelines withIn a rnedkiil category; a field 13 for a g~deli~e extension identi~ier,;signifying ~at certain guidelines are an extension of other guidelines; and a field 14 containing texhlal des~iiption ~;: for each guideline. Iherefore, each guideline can be identified by a ave digit n:umber: a two digit ~edical caW number, a two digit guideline number,~and a one character extension identifier (optional). For example, i the Thrombophlebitis; Ex~t0sion guideline 15 is id~ntified as 53(23X).
The diagnosis~ code index, a por~ion of which is shown in Flgure 3, cross-references each~guideline number in field 16 wi~ one or more .

WO 94/nO817 2 1212 4 5 PCrlUS93/06l04 s diagnosis codes in field 17. This dah base is an index used to iden~fy a guideline based on a diagnosis code entered by the we~.
The question component also has a data basse. Figure 4 shows a portion of the question and navigation data base. For each guideline S identified by numbers in field 18, there are one o more questions, each identified by number and text in field 19. Associated with each question in one or more of columns 20, 21, 22 is coded navigation information identifying the next step, which may be an additional question, a different Z guideline or a trea~nent. Different paths through ~e guideline are indicated by codes representing each possible answer pr~vided by the us~r.
A two digit code in column 20 or 21, such as the "02" at 23a, identifies the next question to be answered. Two characters, at least one of which is a letter, such as the "4A" at 23b, identifies a treatment. Column 20 shows the ~ode for the next step when the user response to a question is "Pass"
(or "yes"). Column 21 shows~ the~ode for the next step when the user response to a question is "Fail" (or "no"). Column 22 ~ontains infonnation identifying a preoeding question and its responses, if the path from a question depends on the ~us~ responses to both the current and a pre~eding question~ ~(An e~aunple of this appeus u~ Pigure 6 and is explained below.) Figure 5 shows another e3cemplary portion of the question and navigation~ data base. As shown in Figure ~, a four digit code ~i ;; 24 in column 20 ~or~ 21 j~ identifies when another guideline should be applied as the next step. ~
, ~ In impleinenting~a guidel~ne, ~the question/answer combinations are sequenced to yi~d ~the most effi~t route to a trea~nent. Also, the queshon/ansvver combinatdons are isequenced based on *equengr of use, listing ~e most conunon questions first. This sequenang sch~me makes the present invention ~n ore~effiaent in moving ~e user directly to the recommended heatment and collecting only relevant infonnation.
Figure 6, which ~shows~ a furt~ur exemplary portion of the question . ; ~ and navigation dah base,~ provides an example in which the answer to a preceding ques~don together with the answer to the clarrent question ~: ~
: SUBSTITUTE SHEET
, ~

wo 94/0081, 2 1 2 1 2 ~ 5 PCr/~'Sg3/06104 defines the next step. Question/answer 04g under ~ideline 53(03) is illustrative. Under the column 22, labeled "Frm", it is shown that question/answer 04g could have been reached by previously answering question 02 as Pass (code "02P") or by selecting any of answers "a" through S Np- to question 03 (codes "03a" to N03p7, If 02P or 03a through 03e were chosen as the previous answer and response "g" is selected for question 04, then in each case the next step is the trea~nent options of n2A~ or "2C".
However, if response "g" were selected to question û4 after the answer corresponding to code "03f" was selected, then the next step is "PR,"
indicating physician review.
The treatment component also uses data bases. Figure 7 is an example of a guideline reconunendation data base set for the condition corresponding to guideline 53(23). In general, for each gtudeline identified by a five digit number in field 25, there are listed one or more recomended treatments. Each treatment~ is identified br. a two character treatment code in field 26,~a textual treatment description h field 27, and several resouroe utilizatio~n ~indicators ;in colwnns 2~32, laWlet Setting, A/S, WS
, Preop LOS, and~ respectively. (These resource utilization indicators are explained in g~ter ~detail below.) Also, a nurneric procedure code, such~ as a Current~Prooedure ~enninology (~PT) code is provlded in field 33.
- A ~pl;ete Dnenu of all treatments that may be referenced in any guideline, i~uding~ trea~ment descriptions and resouroe indicators, is reeained in a~procedure file~;~hat is~uset by all g~udelines. I~e procedure file, an excerpt of ~which ~is shown n Figwe 8, lists the numeric procedure code in field 34, the ~five resource utilization îndicators in fields 3~39, and numeric procedurè~descript~ion text in field 41. A count of ~e number of te~ct lines in ~he nurnenc;~plPoedure description is kept in field 4û.
, , ; ~ ~ The clinical~decision~data collection cornponent is linked to the 30 previous three components to collect data and track guideline activity. Its pUrpO# iS to pro~de a founda~on for moving from ~e individual cases ; ~ ': ' ; 8UBSTITUTE SHEET

wo 94/00817 2 1 2 1 2 ~ 5 Pc~r/US93/o6lo4 prosessed in the systeIn to aggregated statistics for a set of cases. The reports hcilitated by this component are discussed below.
f B. Description of a Dia~nosis-8ased Guideline Magnosis-based guidelines provide a framework to reflect the ' S critical factors in the clinical deasion prooess usually leading to treatment, !.
to define optimal resouroe allocation, and to outline key patient data. A
guideline is not a fixed formula or cookbook, although it must be a definite step by step algorithm that can be coded; rather, a guideline presents a disciplined framework or process to guide ant assist the user, such as a health care provider, in identifying appropriate treatment.
. Application of a guideline to an individual's health condition in the present system 300 consists of four phases: (1) the entry phase; (2) the ` question/dah collection phase; (3) the assessment phase; and (4) the final recormnendation phase. I n~the entry phase, the guideline to be applied is is identified. Generally, a ~guideline is identified by a resognized health ' condition description, which may be stated as a symptom or a diagnosis.
i,f ~: Once the desired guideline is identified among those available in the system, the que~stion/dab coDection phase~begins and the user is !`i~ ` ~ presented with a seriés o f questions. The guideline questions are 20 org nized in a forrnat~ similar ~to a~decision tree or flow cl~ Generally, the next question is identified~o~sed on ~e answer to the current question.
However, some~questions elements may be designed only to elici~
infonnation -and the~ answer does t (at least immediately) influenoe the next question ptesented. The~nu~ of questions presented in a given case valies with the~ guideline selec~Ed and the answers to the questions presented. I
Iri the third phase, the guideline identifies a recommended treatment or o~e~ ~action, based~on the user's answers to the questions presented. As noted~ pre~iously~and shown in Flgures 7 and 8, a recom~nended treatment consists of a textual description, a numeric procedure code, and resource u~lization indicators.
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wo 94/00817 2 1 2 1 2 4 5 Pcr/US93/~

There are a five resource utilization indicators. ~Setting" identifies whether the treatment occurs in an inpatient hcility (IP), outpa~ent hciliq (OP), or physician offlce (OF). "LOS" (Leng~ o Stay) identifies the number of days for inpatient hcilities. "A/S" (Assistant Surgeon) 5 designates whether an assistant surgeon is required. "Preop LOS"
~Preopera~ve Length of Shy) designates the number of inpatient days required prior to elective surge~y. "Flag" indicates special considerations such as }arge case management, physician review, or coordination of services.
More than one recommended treatment may be provided as the outcome of a guideline. Also, a treatment may not be provided; rather, application of a new guideline or further clinical evaluation can be recommended.
As noted above, a guideline is not a fixed formula that, in effect, lS requires the us~ to pursue a given treatment. To the contrary, use of a guideline in the ~present system 300, specifically cont~#nplates that the user may select and~ enter into; the system a proposed or actual treatment that is s ~ ~ ~ not the rea~nu nded treatment indicated by ~e~ guideline If the user sdects a proposed~or~ ~ual ~treatment that is not ~e recommendet 20 treatment~ indicated by the g-udeline, ~then the system calls for specialty review of the case.~ This~ usually imo es; see~ing the opinion of a person different from the person that sdected~ the proposed or actual treatment.
Once the spec~lty ~review is completed, the user enters into the system a final recommendation treatment. This can be the g~ideline 25 recornmended treatment, the proposed or actual treatment previously `' entered by the user, or~ a different treatment reslalting from the specialty review A pmnary purpose of ~e guidelinff is to initiate and facilitate ,~ ~3~ companson and~evaluation, U there is a difference between the the final 30 recommendation treatment and guideline recommended treatment or between the final~recommendation treatment and proposed/actual treatment. This ~comparison and evaluation occurs in d e fourth phase. If 3j ~:
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WO 94/00817 212 I 2 ~ ~ PCI`/l,'S93/061~4 there is a difference between the the final recommendation treatment and guideLine re~omrnended treatment, the system 300 elecits an explanation for each vaAance in the intervention or prooedure, as well as in resource utilization indicators (provided that the differences in the intervention or S procedure permits meaninghl comparisions). If there is a difference between the the final recommendation treatment and proposed/actual treatment, e.g., the user is overriding the proposed/actual treatment of a provider, the system 300 elidts co~unents on the influenoe of the guideline process on the final recommendation, i.e., the manner in which care changed as a result of the guideline process.
The content of a guideline requires that it reflect acoepted clinical practice when forrnulated and also requires (a) ongoing evaluation to ensure appropriateness and (b) assessment of its implementation to ensure consistent application and appropriate sensitivity and speciaaty of its contents. The dinical content of each guideline needs to be based on available evidenoe and refined by result of application. T~us, guidelines are develop~d arst as paper diagnosis and treatrnent models by health care professionals and these models are refined to sufficient definiteness to permit their coding. ~ ~ ~
Figure 9a is a chart outlining the g uteline development process.
At step 1 ~the illness~cabgory that the guideline will cover is identified.
This decision is usuaUy based~ on e~sting patterns, such as the volume of ` ~ cases for an illness category, the extent of valiations in trea~ng an illness, or cost for treating an ~illness. A pa el of people with exp~tise in the selected illness category or in research procedures is established.
At sbp 2, the sa>pe, i e., components of care, of the guideline is identified. The five~ mapr c mponents that a guideline may include are dia~nostic guidelinej~ t~peutic selection, resouroe selection and acute care management. The care componen~s decision is based on the pu.-poses for developing the guideline, understanding how it would be ; implemented, and the financial resources available for guideline development.

SUBSTITUTE SHEET

w~ 94/0~817 2 1 2 1 2 ~ 5 PCr/~S93/06104 At step 3, any subdassifications used to identify severity levels of the illness with a set of treatment options are identified. The subciassifications should be standard groupings whenever possible, so they ,, will be consistent with data used in future analyses.
S At step 4, an evidence chart that defines aspects of the diagnosis or treatment which require specific scientific support or evidenoe is developed. This evidence is necessary to determine the impact on expected clinical outcomes of a spe~ic intervention. It also describes potential adverse affects or outcomes and ~omplications which will need to be considered in evaluating overal! risks and benefits.
At step 5, a literature search is conducted. Prior to conducting the literature search it is important to define the search logic, process, and list of exdusions h order to efficwltly expend time and resources. The evidence chart helps organize the information to complete the l~terature search.
At step 6, evidénoe retrieved for each linhge of the evidence chart is doa~nented in a standard forn~at. l he data abstraction process is completed. The res~lts are summarized to specifically docurnent the results of each study.~ ;
At step 7, ~quantitative ar alysis is used to draw conciusions about a ~particular intervention's effecti~eness. Narrative summaries are created ; ~ ~ of the infolmation~for each~ i~ter rention, descsibing the; impact on expected outcome. ~ l'his~ synthesis of information, inciuding the narrative sumn~, is pro~ided~ to~ knowbdge experts for a decision of clinical ~` 25 impact of interrention on expKtet outcome.
At step 8, a sumn~y of the risks and benefits of interventions appropriate to a~ di~gnosis~is~generated. This summ~ may indude posihve ou~come,~grade of impact, contraindica~on, adverse af ect/mortality, ~adverse affect/morbidity, disability, discomfort and cost impact. At this~ point~ a meeting of the expert panel occurs. During this meeting the nsk sununa~ benefit is reviewed, ~esource selec~on, key . ~ ~3UBSTITVTE S~EET

wo 94/008l7 2 1 2 1 2 4 S PCr/~IS93/061W

management and follow-up guidelines are defined, and consensw on the gu;deline is reached.
At step 9, a clinical appropriateness model is ~eated by the panel that describes by intervention: patient characteristics for which the intervention is indicated and contraindications, with appropriate alternative when present. This inforrnation is then aggregated into a guideline At step 10, for each intervention adopted into the guideline, the panel deterrnines a minimum level of resource required to administer the treatment. This indudes evaluating the setting and potential variables.
At step 11, acute care management is defined For each .. . intervention requiring an inpatient stay, the panel determines the appropriate length of stay.
At step 12, following completion of a guideline, the panel develops guidelines for extended care, which indude the indications, treatments and related resources.
At step 13,~ the panel meets to review the entire guideline for darity and accuracy. Panel members vote formaily for adoption of each I
guideline.
Guidelines ~are continuously updated by re~nng searches by diagnosis ~for newl findings and ~studies. ~ Also each guideline can be reviewed on a pe~lodic~basis,~ such a annually. Wormation from the care management system can be retrieved for that review, induding results of use, Irequency of use,~ frequenq~ of varià~ion by component, type of 2S variations.
C. Using the Syste~
Figure 9b~ shows the basic s~eps of ~e clinical decision process in which the present invention may be used. Initially, an individual presents a health condition to a provider.; Next, the diagnosis process is initiated. The health; care~provider collects information from the individual and perforrns~ tests or o~er prooedures. At this point~ the system user (whether~ it is the provider, assistant, admir~strator, or other) ~ ~ .
!:

, SUBSTITUTE SHE~T

wo 94/008t7 2 1 2 1 2 ~ ~ PCr/US93/06104 may initiate the guideline process leading to a recommended treatrnent.
Also at this po~nt, the user may input an actual or proposed treatment prior to initiating the guideline process.
8roadly viewed in terms of the clinical decision model of Fig.
5 9b, the system 300 can be used to aid diagnostic confirmation and therapeutic selection associated with the diagnosis. The system 300 can also ait resource selection, because the guidelines used in the system conta~n resource recommendation parameters. Thus, the guidelines adtress both the problem of overutilization and its resulting direct costs 10 and underutilization, which usually leads to indirect costs. Using the system in real-time to guide proposed care provides a clinically-sound basis for ongoing quality and outcomes analysis through tracking a specific diagnosis. Potentially inappropriate or les~than-optimal care can be identifed and cone ed. The guideline structure pro~ites a basis for 15 consistent deasion-makin6 while allowing flexibility for complex cacPc requiring care coordination and intensive review.
: ~ `
` To illustrate how~ the system 300 aids diagnostic confi~nation, therapeutic sele~on and~ resource~#lection, it is usefi~l to traoe the actual process followed by a~system user, includulg the saeens presented.
20 1. i~ating a~ Guideline`Process~ - Accessing the Desiret Guideline A~ to the app~opnate g~ideline in a real t~ne mode is a key feature of the~present~ ention. ~lherefore, the index component is struch~ret to a~w, th~user a method of loca~ng the appropriate guideline with tiffering levels of inforn~lation. Por exampie, the guidelines are 25 diagnosis~oased~(that-is, ~y address a spedfied health condition ~at has been realgnized) bùt tliè ~ser (dini~l reviewèr) may only know the procedure being~proposed.~;~ This requuff an efficient search of all of the guidelines that a~ntain~ that p ooedure in order to identify ~e correct guideline for re~iew of the ~cæ
ere are~;~ree ways the user may initiate ~e guideline process.
First, ~e user may~select one category from an alpha index of predefined medic~l categories, as shown in the screen depicted in Figure 10. Each `:: ~ : :
!

3UBSTITUTE S~IEET
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WO ~4/0081~ 2 1 2 1 2 4 5 PCI`/I,'S93~06104 category leads to an alpha index of guideline titles within that, each title representing a health condition or diagnosis, as shown in Flgure 11. This facilitates quick access to the desired guideline. More than one description may exist for a guideline. To actually select a guideline, the user first S selects one category from a medical catego y list 42 as shown in Figure 10.
For each selected medical category, the system 300 next presents a menu of guideline ldtles 43 as shown in Figure 11. The user then selects the desired guideline 44 which is highlighted as shown in Figure 11.
The guideline process may also be initiated a second way. Once a 10 medical category is selected, the user may move to a screen for inputing a ~! predefined diagnosis code, as shown in Figure 12a. For example, in the preferred embodiment, a code from the International Classification of Diseases, 9th Revision, Clinical Modification, or ICD-9~M, a standard coding system, may be entered in field 45. One guideline may cover a ` 15 range of diagnosis codes and a diagnosis code may identify more than one guideline. The user selects the desired guideline from the relatively short menu 46 generated hr ~e given diagnosis code. Entry of a 3 digit code will cause ~e system to display a list of all of the guidelines containing that diagnosis code.~ No diagnosis code validation is done. ~Jote that 0 ~ ough the ICD~CM code is ~5 digits, only the first 3 are used to inde~) The guideline process~may also be initiated without identifying a diagnosis. As shown in Fig~e 12b, the user may input text representing a known or proposed~ treatment or procedure inforrnation in field 47. A
procedw or treatment may~ be~found in more than one guideline.
25 Selec~ion is by alpha desiption allowing for a partial string search of 5 characters into the index list. ~he procedure descnptions contain the most s~nificant characters first to~allow a fi~Ged position search. The search is limited to procedure code~ descnptions only, excluding complication descriptions and~;notes. I f matching text is found, the treatment ~on~.aining 30 that text is identified. ~ From that, the guideline~s) containing the identified ,~ treatments are located. Therefore, it is possible that treatment text can lead .
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wo 94/00817 2 1 2 1 2 ~ 5 Pcr/uss3/o6lo4 to more than one guideline. The user then selects the desired guideline from the menu 48 generated in response to the treatment text entered.
After a guideline is selectet, the software calls for identification information to be provided by the user. This is shown in the screen 5 depictet in Figure 13. First, the type of review or file is identifiet. Reviewtype is either initial or extension. Extension review is entered after an initial guideline is used. The extension may be caused by a delayed response or condition in the individual, a complication, a failure of initial trea~nent, or other reason. ~ Next, a case iden~fication nu nber is entered.
10 It is important that a patient have a unique identification number for each admission to ensure all information on the patient is in a single file. As discussed above, extension review allows the user to add inforrnation to an e~asting file. A~ cliniaan or care provider identification nurnber is also entered. Each cliniaan should be identified by a unique nurnber.
15 2. Navigating through a Guideline - the Ouestion/Data Collection Phase Once a guideline is selected, the user proceeds through an interactive process of ~questions~ and answers to reach a recommended treatrnent. Anexamplescreen~s owingpart~oftheprocessisdepictedin Flgure 14. Several~ questions are displayed and a first question 49 is 20 presented to the user by highlighting~ Tl~e are three question formats.
First, the question~ can ~ in ~narrative ~form as at 49 and require a "pass" or ; ~ ~ nfail" (correspon~g to~yes;or~no, respectively) answer 50. The answer is selectedby'pushing"~a~displ~ ed'buttonn. Second,thequestionmay offer multiple answers as~at 52 ~ant pennit selection of only a shgle 25 answer. Response navigation is attached to ea~h multiple~ioice selection (onl,v pass appliesl Third, the question may provide multiple selections as at 51 and all app}icable sele~is~ may be ck~sen. The third type of question is for aboth~na~ngation and data colaeetion and some selections . ~ ~
made do not affen subsequent questions. All questions are presented by 30 highlighting ~e aLnent question and as many questions as possible are displayed on one saeen. Ques~dons ~are numbered to pe~it tracking the : SUBSTITUTE SHEET

WO 94/00817 2 1 2 1 ~ ~ ~ Pcr/uss3/o6lo4 .19 clinical pathway used to arrive at a recommended treatment. A question and any of the responses may extend over more than one line.
Based on the user's answer to the initial question, another question is presented, but it may not be the next question in the numb~ sequenoe.
5 Navigation among questions is dependent on answers and some questions may be skipped. Therefore, the user enters only relevant data and does not have to sift through unnecessary or irrelevant questions.
No backward navigation is allowed in the questioning logic. However, the user may back up to erase and re-enter responses. The number of 10 questions presented to the user varies depending upon the 8t~ideline selec~ed and answers provided.
A question may be arrived at by multiple paths. For example, if question 3 is arrived at from question 1 or 2, then there could be 2 sets of pass~hil navigational options. IJltimately, after navigating through a 15 guideline, the user ~will be provided with at least one recommended treatment, a new guideline or nstructions to seek further clinical evaluation. If questior~ing determinff the need to utilize a different ~deline, then the user is either transferred directly to the new guideline and/or a message~is displaye . A given combination of answers may lead 20 to multiple r_d; treatments as shown by the two highlighted treatments 53,~54 in the~s~een depicted in Figure 15.
Codes are stored that; indicate the path taken through the questior~ulg pr~ ~ (clinical pathway). A "help" menu accessed by a func~on key is available ~at any time to further darify the question, 25 trea~t, or L~stof references. Using the pull-down menu "view"
acoessed~as indicated 56 in Fgure 14, the user may review answers to previous questions.~ ~Howe~rer, exoept in the non directive mode described below, the user may ~not work~ backward or select questions in an arbitrary rnanner. Due to ~the~ nav~gational control built into a guideline, only 30 relevant questions that are required to reach a recommended treatment ;~ SUBSTITUTE SHEET

WO 94/0081~ 2 1 2 1 2 ~ ~ PCl/~lS93/06104i are presented and answered. The user has the ability to exit and suspend review at any time. The review status is stored and the user may continue the review at a later time.
3. Treatment and Review S The guideline question sequence will lead to one or more recommended treatment options, a new guideline, or suggest further clinical evaluation. As shown in Figure 16 all treatment options are displayed to the user with the reconunended treahnent(s) highlighted.
Multiple treatments may be appropriate for a specified combination of answers. A treatrnent option may be displayed with message or note lines.
More than one page of treatments may be present, and the uær can page through all treatments.
A treatment option is displayed in eight fields, as shown in the screen depicted in Figure 16. The first field 57 is a two~uracter treatrnent i; 15 code that hcilitates tracking of treatments within a guideline. The ~de is unique within the selected ~guideline only. Next is a field 58 aontaining a brief description of the treatment, followed by a field 59 for the applicable numeric prooedure ~ode. Multiple prooedure codes may be present if a treatrnent consists~ of more than one prooedure. A procedure code may not always be av~ble for a trea~nent~ option. If it is not available, an internal code will be created~ b~ut not displayed on the screen. The prooedure code can be used in~ reimbursement for the selected treatment.
Next thie résouroe utilization~ indkators are L;sted. The treatment setting field 60, labelled,~"Settingn, identffles inpatient facility (IP), outpatient facili~ OP), or ph~ offioe (OF). The length of stay field 61, iabelled "~OS', provides the nurnberof days fof inpatient facilities. The assistant surgeon ~ d 62,~ elld "AlS", designates whether an assistant surge~)n is requ~ed (y-yes;~n=no; szstandby) l~e preoperative days fielt i ~ ~ 62, labe~ed, "Preop', designates the number of inpatient days required 30 prior to elective surgery. Flag field 64 indicates special considerations such as large case management, physiaan review, or coordination of services.

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wo 94/008l7 2 1 2 1 2 4 S PCr/US93/061W

As stated previously, the user may enter an actual or proposed keatment prior to or after obtaining the guideline-recommended treatment(s). To enter an actual/proposed treatement after arriving at a guideline recommended treatment, the user utilizes the "Enter" menu 5 and reaches a screen with the fonnat shown h Figure 16. As shown in Figure 16, for the proposediactual treatment the user enters information in five labelled aelds, induding treatment code 69 and the resource utilization indicators of Treatment Sett~ng 65, Length of Stay 66, Preoperative Days 67, and Assistant Surgeon 68. The user norrnally enters 1~ a 2-character treatment code corresponding to one of the treatment options listed above fields 65~9. If the propooed/actual treatment is not listed in that guideline, then a reserved code will be entered and the proposedtactual treatment must be described.
If the proposed/actual treatment is not the same as the guiteline-15 recomrnendet treatment, then the system prompts the user to initiate spe~ality review. ~ Figure~ 17 shows a saeen used in the specialist review process. The spedalist review window is overlald on the treatment options list screen. The foUowu~g fields have data automatically entered:
case ID number ~70, review ID number 71, and~specialist review number n.
20 A five character~lD aeld~73 is user-filbd to identify the spe~alist reviewer.` ~ Four types of review ~with dif~g associated costs and exper~hse can be ;~ selected: clinical review~ (CR) 74; physiaan revlew (PR) 75; independent medical exim (I~) 76; and ~appeal 77. Clinical review is conducted by a licensed professional~with expertise in à par~cular speaalty including the 25 provider or another; on the user staff who has the authority to approve varian~ Physiaan;review is by a consulting physician with authority to approve varianoes.;~ ~IME is a required referral for a second opinion examination. This type of review is chosen based on individual case ments or for a mandatory se ond opinion list. Appeal is a review by a 30 consulting physician generated by an appeals notification.
The reason field in the specialty review window includes seven possible reasons~why the case was carried to a d.Uferent level of review, SUBSTITUTE SHEET

wo 94/008l, 2 1 2 1 2 ~ S Pcr/US93/o6104 including appropriate treatrnent plan 78, partial procedure 79, sefflng 80, LOS 81, preop days 82, assistant surgeon use 83, and diagnosis confirmation 84. For any given case, multiple reasons could be present.
Any varianoe between the proposed/actual and guideline-recommended ~ S treatrnent are automatically designated. Actual consideration of the case !~ by a specialty reviewer occurs off-line. The result of that review is comrnunicated to the user, who is now enters a final re)mmendation, incorporating the condusions reached in specialty review, in the formate required by the screen shown in Figure 16.
With a guideline-recommended treatment identified and a user-selected proposed/actual treatrnent as well as a final reco~unended treatment entered in the systern-defined format, the system 300 per~orms ` comaprisons.
;l ~ Whenever there is a vanance between the treatrnent or a resource lS utilization indicator~for a final rea~nunended treatment and guideline recommended treatment, the system~elicits reasons for the variance(s).
;j The "reason" field ~corresponding to a~ resource utilization indicator where , ~ there is a variance is highlighted. One character standard reason codes are t, used to explain o~erriding~ the guideline recommended treatment.
Reason codes indude the following: I
i A- addibonal diagnosis (cornorbidity) ;~ B - si~cant~cbnical ir~s ~i C -complication D - unavailable infonnation 'r~ 25 E -alternativecareavailaWli~
F - facili~ capability ~ ~ G-geographicdistanoe r~ H- soaal situation surgical sîabilizabon J - contraindication , K- age L - practitioner expenenoe ~, !:
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~3UBSTITUTE S~EET

~;
wo 94/008l7 2 1 2 1 2 4 ~ P~/~'Sg3/0610 : 23 M - patient preference O - system override Z - other For example, "Setting" reason must be completed if the final 5 recommendation treatment Setting is higher than the guideline treatment Setting (IP~OP>OF). "LOS" reason must be completed if the final recommendation LOS is greater than the guideline LOS. "Preop" reason must be compbted if the final recommendation Preop days are greater than the guideline Preop days. Assistant Surgeon reason mwt be 10 completed if the final reconunendation Assistant Surgeon use is greater than the guideline Assistant Surgeon (Y>S>N). Diagnosis confirrnation reason must be completed if a specialty réview reason indicates diagnosis confilmation. [PLEASE CONFIRM]
A final recornmendaaon reason des~iption is enteret if there is no 15 standard reason code for; the final recornrnendation trea~nent or for fur~er explanahon even when a~stan~dard code exists. Por ex~rnple, it is desirable to elicit user comment identiying other diagnosis information that was considered~relevant to treatment xlection and may leat to future modification of the guideline. ~ A ~button" allows access to a free text entry 20 window.
The "Care Ch;mged' fields are used if the final recommendation trea~t is different ~from ~e~ proposed~a~al treatment. Whenever ~` there is a varianoe~betwoen the~treatment or a resouroe utilization ~ndicator for a final recommended treatment and actual/proposed 25 treatment, the system ~eliats rewns for the varianoe(s~. The "reason"
field correspondin~;to~a~ resource uti;lization indicator where there is a rarianoe is highlighted. Treatment "Care Changed"fiel is used if the final rec~mmendation~ different than the proposed/actual treatment. The treating physiaan;indicates whether he agrees ~nth the recommendation 30 (Y, N, U=Unhtown). ~ ;Setting "Care Changed" is used if ~e final re~mendation treatmént ~Setting is different than actual/proposed Treatment Setting. ~The treating physiaan indicates whether he agrePs WO 94/00817 2 1 2 1 2 ~ ~ ~/U593/06104 with the final reconunendation (Y, N, U=Unknown). LOS "Care Changed" is used if the final reconunendation LOS îs difhrent than the actual/proposed LO5. The treating physician indicates whether he agrees with the final reconunendation (Y, N, U). Preop "Care Changed" is uset if S the final recommendation Preop days is different than the actual/proposed Preop days. The treating physician indicates whether he agrees with the final reco~unendation (Y, N, U). Assistant Surgeon "Care Changed" is used if the final reconunendation Assistant Surgeon is different than the actual/proposed Assistant Surgeon. The treating 10 physician indicates whether he agrees with the final reco~runendation (Y, N, U). DX "Care Changed" is used if the case was sent to specialty review fo- diagnosis cVonfirmation~ then the treating physician annohtes whether he agrees with the dedsion (Y, N, U). IPLEASE CONFIRMl D. An Example Guideline - Thrombophlebitis .
An example of the gwdeUne process for a specific health condition is shown in Figure 18, a flow chart for the guiteline, thrombophlebitis, in conk~on with previously discussed s~s shown in Figure 11-16, which represent portions of the implanentation of the flow chart of Pigure 18. I~is flow~chart does~not indude all information presented to 20 the user that would~appear~ on: the té~minal sneen. For example, at step 106 the flow chart shows only the recommended treatment code and treatment text. However,~the~guideline definition for thrombophlebitis indudes ar~d the user would~actually~be presented with a saeen similar to Flgure 16 whkh would include, the~CPI code and resource utilization 25 indicators for each~treatment optwn. Also, the flow chart differs from the ¦ ~ ~ actual saeens in that s~disp~d questions are answered as "pass" or nfailn, which con~spond~to nyes"~or "non, respectively, in the flow chart.
Sbp 100 is the entry point ~ to selection of the , ~ ~ g udelirie based~on~the guideline~title, as shown in Figure 11, or by use of a 30 diagnosis code, as shown in Figure 12, or a treatment text search, as shown in Figure 13 At step 101, the user is asked whether the condition is a superficial or deep vein thrombosis. If the us~ selects "superficialn, at step SUBSTITUTE SHEET
i .
w~ 94/008l7 2 1 2 1 2 4 5 Pcr/uss3/06l04 : 25 !, 102 the user is asked whether the diagnosis by examination and symptoms includes one of the following: pain, redness, or swelling. If the user selects "no", at step 103 Physician Review is reco~unended. U the user selects "yes", at step 104 the user is asked whether the patient has progressive S symptoms despite appropriate out patient management. If the user selects "no", at step 105 continuing out-patient treatment is the recommended treatrnent option. U the user selects "yes", at step 106 a ~ideline-recomrnended treatrnent identified by code 7D is presented.
If the user selects "deep vein thrombosis" at step 101, at step 107 the 10 user is asked whethel it was diagnosed on doppler/venogram as shown in Figure 14. If the user selects "no," at step 108, Physician Review is recommended. If the user selects "yes," at step 109, the user is aslced whether anticoagulation therapy is contraindicated due to several factors.
If the user selects "no," at step 110 two guideline-recommended treatments ~', 15 identified by a~des 7A and 78 are presented. No preference between the t, :
two treatments is identified. At step 111, the user is asked whether the treatment hiled.~ If the;user selects "no, at step 112 g~udeline indicates that the individual i5~ to be~ discharged. If the user selects "yes", at step 113 a new guidelin_ded treatrnent identified by code 7C is ;~3,; 20 presented.
~; If at step~lO9 the user selec s "yes", at step 114 the user is asked whether there is p~cimal emboiization. If the user selects "no", at step 115 the guideline rff~mme ded treatment identified by code 7C is presented. If the user selects "yes," at step 116 the user is referred to additional medical literature for fur~er diagnosis.
The saeens implementing this guideline include all of the questions and aon~tional branching necessary to navigate through the flowchart of Figure~ 18~ and reach each of the treatment options or o~er ;~ endpoints shown.
For example,~the screens presenting questions would appear similar to Figure 14 with the current question higl~ighted. When the guideline reaches a recommended treatment, the user would be presented with a .
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~UBSTITUTE SHEET
,, WO 94/0081 ~ 2 1 2 1 2 4 ~ PCI~/l,'S93/06104 sae~n similar to Figure 17, without the Specialist Review su~screen, showing g~udeline reconunended treatrnent options with the recommended treatment(s) highlighted. Figure 17 reflects a question/answer path yielding two recommended treatments. Figure 16 S shows one recorded treatrnent reached by a different question/answer path through the guideliné. Figure 16 also differs from Figure 17 in that the user has additionally entered a proposed and final recommendation treatment.
E. Alternative Embodiments of the Invention The above embodiment of the invention is a directive mode whereby the gu~deline process is self-prompting and the user is only required to answer designated questions. In an alternative embodiment invention, the guidelines can be acoessed in a non-directive mode whereby the user can access all questions for a given guideline, to view lS and selectively answer the questions. At any point, the user can shift back to the directive mode and the questions wil~ again be self-prompting with a question appearing based ~on the questions already answered in the non-directive mode. lExplain utility? Can~ d treatments be bound?~
20 F. Reports An important fèature of the~ present invention is its ability to capture key data durmg~ usage for individual patients and cases. This enables the user to tràck~and analyze pattems of care a~oss defined populations in order~to~unterstand trends and variations for planning 25 purpo#s. In addition,~;repor~ can show provider profiles, diagnostic decision outcome profiles,; as well as procedure decision outcome profiles.
On line reports include~adrninistrative reports, summary reports and worksheets. Repor~s mày be used by renewers as work and time rnanagement tools ~and~ by adrninistrators and managers for summary 30 reports and planning tools. Reports may selected for designated time ~UBSTITUTE SHEET

wo 94/00817 2 1 2 1 2 ~ S Pcr/l~S93/06104 D
Reports sort and summarize case review status in several ways.
Case review status includes the following: dosed, i.e. closed (C) by normal review procedures or closed by adn~inistrative closed (A); and open, i.e.
suspended in questioning ~Q), and specialty review (S), or open because S the review process has not been completed (?
There are six types of daily *oductivity Reports: operation manager, supervisor, care manager, specialist reviewer, specialist reviewer productivity, and specialist review worksheet. An example of a operation manager report is shown in Appendix A. This is a general summary 10 report which slummarizes all open case reviews by medical category 200, i.e., reviews with the status of O, Q or S. A total of all open case reviews for all categories 201 is also listed. Initial reviews 202 as well as extension ~ reviews 203 for each category are listed as well as case re~news and specialty $ review 204. This report also summarizes case reviews which are still open and over 30 days old 205 and open reviews which are less than or equal to 30 days from the fnitial review data entry 206.
An example of a~ supervisor report is shown in Appendix B. I~is is a general swnmary report which sununarizes all open case reviews (with status O, Q or S) and ~is~sorted~by~care~manager (reviewer). A total of all 3~ 20 open case reviews for each care nlanager is listed 207. Initial reviews 208 as well as extension reviews 209 are listèd as~ well as cases 210 ant specialty review 2t1. This report~ also summarizes case reviews which are still open and over 30 days old 212~and~open case which are less than or equal to 30 ~3 ~ days from the uutia~ ~ rèview ~data; entry 213.
3 ~ ~ `
An examp1e of the care manager report is shown in Appendix C.
This is a general su~nmary réport which summa~izes all open clse reviews (status O, Q or S) by~indivWual care m~nager (reviewer) 214. This report surnmanzes for each c~re~ manager all open case reviews listing the case ID
215, the most = t review date for the review 216, identifying whe~er the review was initial or extension 217, the speciaL;st review type ~; ; (physician reviewer, Independent medical exam/second opinion appeal) ~` 218, referral reason ~2]9, and the case review guideline name 220. This .~y~
!i~ SUBSTITUTE SHEET
,1 Wo 94/0081t 2 1 2 1 2 ~ 5 Pcr/~s93/o6104 report is generally used by the care manager for follow-up and tracking and by the specialist reviewer as a t~ne management and daily o~ weekly work planning tool.
An exarnple of a specialist reviewer report is shown h Appendix D.
This is a general summary report which s~unarizes open case reviews with specialist status (5) reviewer sorted by reviewer ID, case ID, and review date. This report summdrizes for each specialist reviewer 221 all open case reviews listing the case ID 222, the most current reYiew date for the review 223, identifying whether the review was initial or extension 224, the specialist review type ~dinical reviewer, physician reviewer;
independent medical exam/second opinion, appeal) 225, referral reason 226, and the case review guideline name 227. This report is generally used by the care manager for foliow-up and tracking and as a daily or weeldy planning tool.
An example of the specialist reviewer productivity report is shown in AppendL~c E. This summarizes reviews with a specialist review status (S) sorted by medical categ ry and specialist review type, case ID and review date. For each of these the following are listed: the case ID 228 with the most current~ review date ~for~ the review 229, whether the review was in~tial or extension 230,~ sped~list identification nurnber 231, referral reason 232 ~and the~case review guideline name 233.
An example of a speaal;,st~review work sheet is shown in Appendices F, G.~ ihis~report sumn~ per~nent information for a case review which needs~ a~specialist r~ew. This would most co~unor~y be 2~5 used for physician review although it can be used for clinical review, independent medical exam~#cond opinion or àppeal. The report lists the specialist reviewer 234, the case 235 and clinician ID 236, the proposed treatInent 237 and guidelinè recommended treatment 238 wî~
apropriate resources downloaded with the software. Ques~ns passed and failed are summarized 239 and the reason for the speaalist re~iew 240 is identified. Note~text 241 which has been entered for ~e case is included.
This report is completed bv the care manager (reviewer), printed and .

WO 94/00817 2 1 2 1 2 ~ ~ PCl~/US93/06104 distributed to the appropriate specialist reviewer. The speaalist reviewer would discuss the case with the appropriate resources, complete the inal re~ommendation 242 and outcome and return the worksheet to the care manager who would enter the reason code 243 and text into the case review file.
Information management reports identify overall volume and patterns of care induding diagnosis, therapeu~c selection ant resource use. From these reports, you can determine the level of effectiveness or impact related to each guideliM use. You can also use the reports for quality measurement and planning by identifying where variations are occurring and how they are resolved at the initial guideline level. Reports may be selected by date in either clinician identification number or reviewer identification number or both. They are sorted automatically by specialtyarea. ~; ;
An example of a reporting peri:od sununary shown in Appendix H.
; This report gives an overall surnmary of all cases in reviews. It lists case volume 244 (number of total cases), review volume 245 ~number of individual reviews), the nurnber of physicians 246, and the number of different guidelinesi~used~for initial and extension reviews 247. This report may be sorted for~ a specific t~ne.
An example of a guideline frequency report is showrl in Appendix I.
This report lists ~n how many cases a particular guideline is used 248. The peroent of cases usmg;;each~guideline 249, and the percent of t~tal cases that guidel;ne represents 250 are also listed.
.An example of:a patterns of care report is shown in Appendix J.
This report lists the total ~nu~of cases using the ~rarious guidelines 251.
The propos~d~ trea~ent(s)~for;each guideline 252 are listed with the number of cases for~each~ 253. Proposed average leng~ of stay 254 and recomrnended length of stay 255 are also listed for each guideline proposed treatment. This report can also be~sorted by overall total or cliniaan identification number. ~

~: SUBSTITUTE S~IE~T
:

WO 94/00817 2 1 2 1 2 ~ ~ PCI~ S93/06lW

, An example of a quality mana~ement and planning ~aggregate) report is shown in Apyndix K This is an aggregate report which lists the total number of cases with the requested diagnosis. For each diagnosis guideline requested 256, the following are listed: proposed 257 and final treatment combination 2S8, number of tohl cases with that combination 259, peroent of total cases 260, what peroent went to speaalist review 261, how many varied from the guideline 262, the number with a guideline variance 263, the number of times each variance code was used 264 and the percent of care changed by the treating physician/care provider 265.
An example of a~quality management and planning ~for each component) report is shown in Appendices L, M. This report is sorted by guideline 266, proposed treatment~267, and final recorrunendation 268.
~j This report is a more detailed report and is a subset of the aggregate quality ,¦ management and plalu~ing report. It lists the three categories of setting 269, preoperative days 270 and length of stay 271. The to~l number of cases are listed 272. ~ For each guideline in each~ category, the following are listed: proposed 273 and find recommendation treatment 274, nurnber of cases under each categoq 275, percent :of the cases that carry the ~; propased/final combination 276, p~rcent to specialist review 277, guideline 71 ~ ;20 variations 278, the number with a guideline variance 279, the num~?er of ; times each variance~code;was u~ed 280, and the peroent of care changed by the treating physiaan 281. ~ ~
An exampie of the effecbver~ss report is shown in Appendix N.
This;report provides a breakdown by guideline 282 of the results of its use ~or impact) on the following areas: percentage of reviews where proposed treatmerit selec~orl was impacted 283, percentage of re~riews where propo#d resources werè~impacted ~284, percentage of reviews where both Teatment selection~and~proposed resouroes were impacted 285, and the ,, ~
percentage of total~ cases impacted 286 and total cases 287.
7 ~ 30 Although the~ description of the prefe~ed embodiment has been presented, it is contemplated that various changes could be made without deviating ~rom the spit of the present invention. Accordingly, it is '1 ' ~ ~UBSTITUTE SHEET

wo g4~008l7 2 1 2 1 2 ~ ~ PCr/US93/06104 intended ~at the scope of the present invention be dictated by the appended claims rather than by the descripffon of the pr~erred embodiment.

SUBSTITIITE SHE~ET

W0 94/0081 ~ 2 1 2 1 2 4 ~ PCI/US93/06104 APPENDIX A

_ ._. _. __.. _ _. ._.. ___.____~ _ _ -- . . . .. . ~ _ .. . _ _ __._A_ ____ Date Daiiy Productivity Report Page Operation Manager , 200~ # to ~ ~ ~
Open Specialist Open Open Medicai Category Reviews Review ~=30 days ~30 days __________________________ ________ __________ _________ __________ .
Cardiovascular/Respiratory 202 - Initial 24 4 22 2 Extension 6 1 6 0 203~ Total 30 5 28 2 1 Gynecology I Initial 10 2 10 0 Extension 2 0 2 0 , 201~ Total 12 2 12 0 ! TOTAL Initial 34 6 32 2 ' Extension 8 1 8 0 i Total 42 7 40 2 -i A

.

i ~3UBSTITUTE ~;~IEE~

WO 94/00817 2121 2 ~ :3 P~/US93J06104 , ~ 33 ~1 Date Daily Productivity Report Page Supervisor Medical Category: Cardiovascular/ResPiratorY
# t~ 2~ 2~
. Care Review Open specia'ls. Open Open Manager Type Reviews ~eview ~=30 days >30 days :~ _______ __________ ________ __________ _________ _______ __ ~ ABCDE Initia~ 2082~ 4 22 2 ;, 20g Extension 6 ; 6 0 1 20 7~, Total 30 28 2 ;¦ DEFG~ Initial 10 2 10 0 ?~ Extension 2 0 2 0 ~ Total 12 2 12 0 ;~1 TOTAL Initial 34 6 32 2 ~1 Extension 8 1 8 Total 42 7 40 2 '.~
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SUBSTITVTE SHEET

W~ 94/00817 P~/I~S93/0610~

APPENDIX C

... .. ...
DateDaily Productivity Report Page Ca_e Manager Care Manag r: ABCDE (Na e2l7 21~ 21~ 220 ~ Review Init/ Spec Referral Case ID DateExt Type Reason Guideline _________.. __ ________ _____ ______ ________ ____________________ ___ 0580111}2223 05/01/92 I PR TPLAN Angina, Stable 0580111122Z3 05/05/92 E Angina, Stable 011122223333 05/10/92 I PR SET Degenerative Joint Disea LOS
012333332229 05/01/92 I Degenerative Joint Disea .

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~3lJE~STITUTF S~EE;~T

WO 94/00817 PCI/US93/~6~04 21212~:) APPENDIX D
....
Date Daily Productivlty Report Page Specialist Reviewer , Specialist Reviewer: XYZAB "-22! 226~
222 224~ 225~ / 227) 223 Review ~Init/ Spec Referral Case }D ~ Date Ext Type Reason Guideline `~ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ -- _ _ _ _ _ _ -- -- ~ -- -- -- -- -- -- -- -- A
058011112223 05/01/92 I PR TPLAN Angina, Stable 058011112223 05/05/92 E PR LOS Angina, Stable ! 011122223333 05/10/92 I PR SET Dege~erative Joint Disea LOS
j 012333332229 05/01/92 I PR TPLAN Degenerative Joint Disea ;l .
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W~ 94/00817 PCI/US93~061(~4 APPENDIX E

. . . . .. .
Date Daily Productivity Report Page Speci~list Revlewer Productivity Medical Category: Cardiovascular/Respiratory Specialist Type: PR Physician Referral 232 22~) 229 230) 231) / 233) . ~ ~ Review ~Init/ Spec ~ Referral Case ID Date Ext ID Reason Guideline '' ____________ _____________ ______ _______-- ________________________ 058011112223 O5tOlJ92 I XYZAB TPLAN Angina, Stable 058011112223 05/05~92 E XXXXY LOS Angina, Stable 011122223333 05tlO/92 I XYZAB SET ~hrombophlebitis LOS
012333332229 05/01/92 I XYZA~ TPLAN Arterial Occlusive Disea ~31LJBSTITUTE S~EET

WO 9t~tO0817 2 1 2 1 2 ~ S PCI/l,'S93/06104 QPPENDIX F

Date Spec~ s~ Rev~ew Work Sheet Page 1 Specisli5t Rev-ew~r: XY~U ~ 2 3 4 Roturn to:
C~re H~nager: A~CDE f-235 oY Idate~
C~sn Id: 00000510000; i~aVlCW ~: 2 Clinic~an Id: A00100 ~ 2 3 6 Review D~te: 6~05/92 iDiaqnosis: Calculu3 ~sete:Al Proposed Treatment: ~ 2 3 7 Setting LOS Preop A/5 4A) Cystoscopy with re~royrdde stone IP 02 G N
m~nipulat~on Guideline Recommended Tre~tment: ~ 2 3 setting DOS Preop A/S
4AJ Cystoscopy w~th retrograde stone IP 01 0 .
m~nipulaCion
4~1 urethroscopy/ureteropyeloscopy IP 01 0 tl 4CI Cystoscopy wi~h ~ stent p.acemen~ OP N
Ouestions Passed: 239 Dia~nosed by lm~g~ng ~nd one of the following:
fl~nk p~n - severe requir~n~ IM p~n ~eds One of the ~ollowing:
-high grade ob~truction -severe lntract~ble pain -stone ~oo large to p~Sâ
Question5 F2iled:----240 Re~son for Specialist Revlew:
~angth o~ St~y 241 Note Text In~orm~t~on:
cyseo ureehrorcopy stone cxtrAction insert~on stent ~t~e~pted wo success . perc neph done due to ur~ne extr~vas~tion temp po oral ~bs te~ch perc ~ph c~re monitor . ~
_ D~te Spec~ st Rev~ew Work Sheet P~ge .
Speci~list Rev~ewer: XYZA~
f I Case Id: 000005100001 Aev~ew ~: 2 ! Clinici~n Id: A00100 I Revi~w D~te: 6t05/92 243~ ~43a, Diagnos~s: Calculus Ureteral 2 4 2) Re~son C~re Finsl Recommend~t~on ~document ch~nges only~ Code Ch~nged?
Tre~tmen~ Y N U

Sett~ng: IP OP OF _ Y N U

LOS: d--ys Y N U

Preop: _ d~ys Y N U

A~S: Y N S Y N U

DX Conirm Y N Y N U

._ ;

SUE~STITUTE S~EET

WO 94/00817 2 1 2 1 2 4 S PCT/IJS93~06104 ( APPE:NDIX G

. .

.Case Volume: 1,245 244 Review Volume: 1,999 - 24 5 ,~ Physicians: 42 ~2 46 Guidelines: 70 ~247 _ . .. . ... _ .

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WO 94/OOB1 7 2 1212 9 .5 PCl~/VS93/06 104 APPENDIX H

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Medical Category: Cardiovascular/Respiratory ~249 r250 8 % o~ % of Guideline Cases Cases Total Cases _______________________ _____ __________ _______ _ _______ Coronary ~rtery Disease 50 35.0 10.0 Angina, S~able 20 10.0 4.0 Angina, Unstable 20 10.0 4.0 Asthma 105.0 2.0 Pneumonia 14 7.0 2.8 Arterial Occlusive Disease 5 2.5 1.0 SUBTOTAL 200 100.0 40.0 TOTAL . 500 100.0 100.0 .

.

:

SUE~STITVTE SHEE~T

APPENDIX I

Medical Category: Cardiovascular/RespiratorY 25~ 25 Proposed Proposed Avg LOS
Guideline ~ases Treatment Cases Avg LOS Recommended ____________________________ ____~__ _________ ________ __ ______ ____________ Corona~y Artery Disease 50 PTCA 47 3 3 CABG,3 grafts 3 9 8 Angina, Unstabls 20 Telemetry 3 2 2 ~elemetry/
pacemaker 2 3 3 Telemetry/
angiogram 10 4 3 Angiogr~m : WO/CC~ 2 Angiogram WO/CC~ 3 1 0 Arterial Occlusive Disease . 5 kxteriogram 2 2 :Byp2ss 3 8 7 comorbidity :

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W O 94/~0817 PCT/~IS93/06104 21212~S

APPE N DIX J

Guideline: (5310) Coronary Artery Disease ~ 25~ a Cases: 5n - 256 2 60 261 26 s~
2-5--7Treatment-?58 ( 2 5 9 ~ % to J GL Varianc2 Care Changed Proposed Final Cases % Spec Rev Volume Code~ % Known PTCA PTCA 95 90 11 5 A(4) Ktl) CABS/ CABG/ 3 6 33 1 F(l)~
3 graft 3 garft ~ ~ ~ ~2 64 Proposed = final: 48 96 63 PTCA Medical 2 4 100 50 100 Management Proposed ~ Einal: 2 2 ,:

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SU8~TITVTE S~EE~T

WO 94tO0817 2 1 2 1 2 4 5 PCl /US93/lD6104 APPENDIX K

. . .
Guideiine: ~5310) Coronary Artery Disease - 266 Page 1 ---Treatment-2- ,272 % to Ext GL Variance Care Changed Proposed Final ~ases % Spec Rev Rate Volume Code ~ Known ________ _____ _____ _ ___ _____~__ __~___ ______ _______ _____ ___., C269 273 274 275 . ~'2 '277 (278 ( ~281 --SETTING~OP~--------------------------------------------------------IP IP 45 100.0 Pro osed=Final: 45 100.0 0 ~ 43 95.0 0.0 1 1 1 2.5100.0 1 A(1) Proposed=Final: 44 9~.5 J ~280a 1 0 1 2.5 : 100.0 Proposed~Final: 1 2.5 3 3 ,: 3577.8 : ~
4 4 5 11~1 20.0 20.0 5 H(4) Propv~ed=Final: 40 88.9~ ~
4 3 5 11.1 10.0 80.0 50 Proposed~Final: 5 11:.1 ~Xey: ~-Comorbidity ~
H=Social Situation : ::

~3U~3STITUTE SI~EET

~YO 9~0081~ 2 1 2 1 2 4 5 P~/VSg3/061~4 APPENDIX L

..

1 283~ ~ Review % Review ~ 8 4 Reviews 2~ 286 287 Impact Impact impacted ~ ~
282 Proposed Proposed bo~h resources % Cases #
Guideline ~~ Treatment Resources and Treatment Impacted Cases _________ _______ _____ _________________ .I Coronary Artery Disease 4 13 1 14 50 Angina, Unstable 1 25 0 30 20 Arterial Qcclusive Disease 0 40 0 40 5 . ' .

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Claims (39)

  1. Claims In a health care management system comprising a processing unit, at least one memory unit and means for interactively exchanging information with a user of the system, a method of analyzing health care treatment for individuals having one or more specified health care conditions by reference to specified health care guidelines, comprising:
    (a) defining one or more health care conditions for which treatment exists;
    (b) providing to the system one or more diagnosis-based guidelines corresponding to each of said one or more specified health care conditions and including at least one guideline treatment option; and (c) for at least one individual, interactively exchanging with the system information on characteristics of the individual relevant to the observed health care condition, said exchange utilizing data collection nodes and conditional branching in a diagnosis-based guideline, to arrive at an endpoint selected from the group consisting of: a guideline treatment option, an indication to select another one of the diagnosis-based guidelines, or an indication for further clinical evaluation
  2. 2. The method of claim 1, further comprising:
    (d) providing to the system information identifying an actual or proposed treatment when said interactive exchange arrives at a guideline treatment option for the at least one individual;
    (e) comparing the actual or proposed treatment for the at least one individual against the guideline treatment option corresponding to the defined health care condition observed in that individual; and (f) developing a treatment evaluation based on the comparison of step (e) and including identifying discrepancies between the guideline treatment option and the actual or proposed treatment for the at least one individual provided in step (d).
  3. 3. The method of claim 1 wherein steps (a) and (b) result in the system having more than one diagnosis-based guideline, further comprising:

    (g) for at least one individual, selecting at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual.
  4. 4. The method of claim 3 wherein the step of selecting, for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual comprises the system user selecting a name for the health care condition from a list of health care conditions provided by the system.
  5. 5. The method of claim 3 wherein the step of selecting for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual comprises the system user providing text describing a treatment for said health care condition and the system finding any treatment guidelines containing the text provided.
  6. 6. The method of claim 3 wherein the step of selecting for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual comprises the system user providing a predefined diagnosis code for said health care condition.
  7. 7. The method of claim 6 wherein the step of providing a diagnosis code comprises providing a standardized diagnosis number code.
  8. 8. The method claim 6 wherein the step of providing a diagnosis code comprises providing a ICD-9-CM code.
  9. 9. The method of claim 1 wherein the step of providing one or more diagnosis-based guidelines consists of providing guidelines having at least two alternative guideline treatment options linked by at least one test that selects one treatment option as the more appropriate when the test is satisfied.
  10. 10. The method of claim 1 wherein the step of providing one or more diagnosis-based guidelines comprises providing at least one treatment option having at least one treatment resource limitation parameter.
  11. 11. The method of claim 10 wherein the at least one treatment resource limitation parameter is based on a resource selected from the group consisting of: treatment setting, inpatient length of stay, requirement for assistant surgeon, and inpatient preoperative stay length.
  12. 12. The method of claim 1 wherein multiple health care conditions for which treatment exists are defined and for each of the multiple health care conditions there is one corresponding diagnosis-based guideline provided.
  13. 13. The method of claim 3 further comprising the steps of:
    (h) providing to the system information identifying a final recommendation treatment for the at least one individual based on the evaluation of step (f); and (i) for each discrepancy between the guideline treatment option and the final recommendation treatment for the at least one individual provided in step (h), requesting a system user to provide to the system information specifying the basis for selecting the final recommendation treatment causing the discrepancy to arise.
  14. 14. The method of claim 13 further comprising eliciting from a system user information documenting the differences between final recommendation treatment and the actual or proposed treatment.
  15. 15. The method of claim 1 wherein the step of defining one or more health care conditions comprises defining one or more health care conditions in the nature of a disease or organic dysfunction.
  16. 16. The method of claim 2 wherein the step of providing information identifying treatment for the at least one individual comprises providing information relating solely to planned treatment.
  17. 17. The method of claim 2 wherein the step of providing information identifying treatment for the at least one individual comprises providing information relating solely to treatment given.
  18. 18. The method of claim 2 wherein the step of providing information identifying treatment for the at least one individual comprises providing information relating to both planned treatment and treatment given.
  19. 19. The method of claim 1 wherein the step of providing one or more diagnosis-based guidelines comprises providing guidelines having at least two alternative guideline treatment options linked by at least one test that selects one treatment option as the more appropriate when the test is satisfied and at step (c) the interactive exchange of information with the system user determines if the test is satisfied.
  20. 20. The method of claim 19 wherein the at least one test is a question seeking a response selected from among two or more predetermined responses.
  21. 21. A medical information system for analyzing health care treatment for individuals having a specified health care condition to evaluate such treatment against specified health care guidelines comprising:
    (a) a central processing unit;
    (b) at least one memory unit connected to said central processing unit;
    (c) means for defining one or more health care conditions for which treatment exists;
    (d) means for providing to the system one or more diagnosis-based guidelines corresponding to each of said one or more specified health care conditions and including at least one guideline treatment option; and (e) means for interactively exchanging with the system information for at least one individual on characteristics of the individual relevant to the observed, health care condition, said exchange utilizing data collection nodes and conditional branching in a diagnosis-based guideline, to arrive at an endpoint selected from the group consisting of: a guideline treatment option, an indication to select another one of the diagnosis-based guidelines, or an indication for further clinical evaluation.
  22. 22. The medical information system of claim 21, further comprising:
    (f) means for providing to the system information identifying a treatment for the at least one individual when the means for interactively exchanging with the system information on characteristics of the individual relevant to the observed health care condition arrives at a guideline treatment option;

    (g) means for comparing the treatment identified for the at least one individual against the guideline treatment option corresponding to the defined health care condition observed in that individual; and (h) means for developing a treatment evaluation based on the comparison of element (g) and including identifying discrepancies between the guideline treatment option and the information identifying treatment for the at least one individual provided by element (f).
  23. 23. The medical information system of claim 21 wherein means (c) and (d) provide the system with more than one diagnosis-based guideline, further comprising:
    (i) means for selecting, for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual
  24. 24. The system of claim 23 wherein the means for selecting, for at least one individual, at least one of the diagnosis-based guidelines corresponding to a; defined health care condition observed in that individual comprises means for the system user selecting a name for a health care condition from a list of health care conditions provided by the system.
  25. 25. The system of claim 23 wherein the means for selecting, for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual comprises means for the system user providing text describing a treatment and the system finding any treatment guidelines containing the test provided.
  26. 26. The system of claim 23 wherein the means for selecting, for at least one individual, at least one of the diagnosis-based guidelines corresponding to a defined health care condition observed in that individual comprises means for the system user providing a predefined diagnosis code.
  27. 27, The system of claim 26 wherein the means for providing a diagnosis code comprises means for providing a standardized diagnosis number code,
  28. 28. The system of claim 26 wherein the means for providing a diagnosis code comprises means for providing an ICD-9-CM code,
  29. 29. The system of claim 21 wherein the means for providing one or more diagnosis-based guidelines comprises means for providing guidelines having at least two alternative guideline treatment options linked by a test that selects one treatment option as the more appropriate when the test is satisfied.
  30. 30. The system of claim 21 wherein the means for providing one or more diagnosis-based guidelines comprises means for providing at least one treatment option having at least one treatment resource limitation parameter,
  31. 31. The system of claim 30 wherein the at least one treatment resource limitation parameter is based on a resource selected from the group consisting of, treatment setting, inpatient length of stay, requirement for assistant surgeon, or inpatient preoperative stay length.
  32. 32. The system of claim 21 wherein multiple health care conditions for which treatment exists are defined and for each of the multiple health care conditions there is one corresponding treatment guideline provided.
  33. 33. The system of claim 23 further comprising:
    (j) means for providing to the system; information identifying a final recommendation treatment for the at least one individual based on the evaluation of element (h); and (k) means for identifying and requesting a system user to provide to said system, for each discrepancy between the guideline treatment option and the final recommendation treatment for the at least one individual provided in element (j), information specifying the basis for selecting the final recommendation treatment causing the discrepancy to arise.
  34. 34. The system of claim 33 further comprising means for eliciting from a system user information documenting the differences between final recommendation treatment and the actual or proposed treatment.
  35. 35. The system of claim 21 wherein the means for defining one or more health care conditions comprises means for defining one or more health care conditions in the nature of a disease or organic dysfunction.
  36. 36. The system of claim 22 wherein the means for providing information identifying treatment for the at least one individual comprises means for providing information relating solely to planned treatment.
  37. 37. The system of claim 22 wherein the means for providing information identifying treatment for the at least one individual comprises means for providing information relating solely to treatment given.
  38. 38. The system claim 22 wherein the means for providing information identifying treatment for the at least one individual comprises means for providing information relating to both planned treatment and treatment given.
  39. 39. The system of claim 21 wherein the means for providing one or more diagnosis-based guidelines comprises means for providing guidelines having at least two alternative guideline treatment options linked by at least one test that selects one treatment option as the more appropriate when the test is satisfied and at step (e) the interactive exchange of information with the system user determines if the test is satisfied.
CA002121245A 1992-06-22 1993-06-18 Health care management system Abandoned CA2121245A1 (en)

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US901,642 1992-06-22

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AU (2) AU673369B2 (en)
CA (1) CA2121245A1 (en)
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