Conceptual alignment of electronic health record data with guideline and workflow knowledge

التفاصيل البيبلوغرافية
العنوان: Conceptual alignment of electronic health record data with guideline and workflow knowledge
المؤلفون: Daniel C. Russler, Clement J. McDonald, Gunther Schadow
المصدر: International Journal of Medical Informatics. 64:259-274
بيانات النشر: Elsevier BV, 2001.
سنة النشر: 2001
مصطلحات موضوعية: Decision support system, Service (systems architecture), Process management, Cost Control, Medical Records Systems, Computerized, Operations research, business.industry, Time Management, Linguistics, Health Informatics, Guideline, Reuse, Workflow, Information model, Practice Guidelines as Topic, Health care, Information system, Humans, Medicine, business, Decision Making, Computer-Assisted, Software, Language, Quality of Health Care
الوصف: Even though computerized practice guidelines and workflow management (WfM) are proven effective techniques to improving quality of care and reducing costs, they are not widely deployed today. One reason for this is the impedance mismatch between guideline systems and electronic health record (EHR) systems. This paper presents the Unified Service Action Model (USAM) that has been developed for the HL7 Reference Information Model (RIM) and that conceptually integrates guidelines and WfM in the EHR. We argue that the information items recorded in the EHR are logically similar to elements of guideline and WfM definitions. Therefore, the USAM suggests that guidelines and EHR reuse the same information structures. This reuse is possible through a technique borrowed from natural language grammar and modal logic. The conceptual alignment of guidelines, WfM and the EHR could facilitate the sharing and deployment of guidelines in routine health care.
تدمد: 1386-5056
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7492a439e094bf981579cbaa750755aa
https://doi.org/10.1016/s1386-5056(01)00196-4
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....7492a439e094bf981579cbaa750755aa
قاعدة البيانات: OpenAIRE