Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: A literature review of guideline representation models

被引:72
作者
Wang, DW
Peleg, M
Tu, SW
Boxwala, AA
Greenes, RA
Patel, VL
Shortliffe, EH
机构
[1] Columbia Univ, Dept Med Informat, New York, NY 10032 USA
[2] Stanford Univ, Stanford, CA 94305 USA
[3] Harvard Univ, Brigham & Womens Hosp, Sch Med, Decis Syst Grp, Boston, MA 02115 USA
关键词
practice guidelines; knowledge representation; theoretical models; computer-assisted decision making; clinical decision support systems;
D O I
10.1016/S1386-5056(02)00065-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Representation of clinical practice guidelines in a computer-interpretable format is a critical issue for guideline development, implementation, and evaluation. We studied 11 types of guideline representation models that can be used to encode guidelines in computer-interpretable formats. We have consistently found in all reviewed models that primitives for representation of actions and decisions are necessary components of a guideline representation model. Patient states and execution states are important concepts that closely relate to each other. Scheduling constraints on representation primitives can be modeled as sequences, concurrences, alternatives, and loops in a guideline's application process. Nesting of guidelines provides multiple views to a guideline with different granularities. Integration of guidelines with electronic medical records can be facilitated by the introduction of a formal model for patient data. Data collection, decision, patient state, and intervention constitute four basic types of primitives in a guideline's logic flow. Decisions clarify our understanding on a patient's clinical state, while interventions lead to the change from one patient state to another. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码:59 / 70
页数:12
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