Encoding and verification of a computerinterpretable guideline: a case study of pressure-ulcer management.
This study examined ways to improve the accuracy of translating clinical practice guidelines (CPGs) into a computer-interpretable guideline (CIG) for pressure-ulcer management using the Shareable Active Guideline Environment (SAGE) guideline model, and aimed to verify the accuracy of the obtained CI...
| Publicado en: | Health Information Management Journal Vol. 44; no. 1; pp. 39 - 49 |
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| Autores principales: | , , , , |
| Formato: | algorithm case study pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109326852&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109326852 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18333583 YWP jtl: Health Information Management Journal issn: 18333583 maglogo: Y pubinfo: dt: 2015 vid: 44 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 109326852 109326852 109326852 10.1177/183335831504400105 109326852 ppf: 39 ppct: 10 formats: tig: atl: Encoding and verification of a computerinterpretable guideline: a case study of pressure-ulcer management. aug: au: Hyun-Young Kim Hyeoun-Ae Park InSook Cho JeongAh Kim JaeHoon Lee affil: Assistant Professor, College of Nursing, Eulji University, Daejeon, 301-746, SOUTH KOREA sug: subj: Pressure Ulcer Therapy Practice Guidelines Automation Decision Support Systems, Clinical Decision Support Techniques Knowledge Software Expert Systems Validation Studies Human Funding Source ab: This study examined ways to improve the accuracy of translating clinical practice guidelines (CPGs) into a computer-interpretable guideline (CIG) for pressure-ulcer management using the Shareable Active Guideline Environment (SAGE) guideline model, and aimed to verify the accuracy of the obtained CIG. The study was conducted using the following procedures: selecting CPGs, extracting rules from the selected CPGs, developing a CIG using the SAGE guideline model, and verifying the obtained CIG with test cases using an execution engine. The CIG for pressure-ulcer management was developed based on 38 rules and three algorithms at the semiformal representation level using MS Excel and MS Visio. The CIG was encoded by two Activity Graphs consisting of 115 instances representing algorithms and rules as knowledge elements in the SAGE guideline model. Two errors were found and corrected. Results of the study demonstrated that a CIG representing knowledge on pressure-ulcer management can be effectively developed using commonly available programs and the SAGE guideline model, and that the obtained CIG can be verified with a locally developed execution engine. The CIG developed in the study could contribute to health information management once it is implemented successfully in a clinical decision support system. pubtype: Academic Journal doctype: algorithm case study pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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