Improving Clinical Guidelines with Logic and Decision-table Techniques

Author:

Shiffman Richard N.,Greenes Robert A.

Abstract

Clinical practice guidelines can be clarified, verified, and simplified by the use of logical analysis and the application of decision-table techniques. This methodology is applied to a CDC guideline for the prevention of perinatal transmission of hepatitis B by immunization. Relevant clinical variables are identified and possible values for each variable are defined. An exhaustive enumeration of value combinations is generated. Logically impossible com binations are identified and eliminated. The guideline's recommendations are next translated into a set of rules and compared with the remaining value combinations. Variable combi nations that are not covered by guideline recommendations represent incomplete guideline specifications. Inconsistency can be identified by finding identical condition sets in two or more rules. The procedure demonstrates that the hepatitis guideline is incomplete. Logical analysis can improve the quality of clinical practice guidelines by assuring comprehensive- ness and consistency. Key words: clinical guidelines; decision table; logic, verification; hep atitis B; immunization. (Med Decis Making 1994;14:245-254)

Publisher

SAGE Publications

Subject

Health Policy

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Agreement and consistency in the triaging of musculoskeletal primary care referrals by vetting clinicians using a knowledge-based triage tool;Primary Health Care Research & Development;2023

2. CDS for public health;Clinical Decision Support and Beyond;2023

3. Using the Ottawa Model of Research Use to Discuss HTA Development;Development and Implementation of Health Technology Assessment;2021

4. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper;International Journal of Environmental Research and Public Health;2020-09-11

5. Formal Ontological Analysis for Medical Protocols;Implicit and Explicit Semantics Integration in Proof-Based Developments of Discrete Systems;2020-07-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3