Classification of Clinical Research Study Eligibility Criteria to Support Multi-Stage Cohort Identification Using Clinical Data Repositories

摘要：

　　One of the challenges to using electronic health record (EHR) repositories for research is the difficulty mapping study subject eligibility criteria to the query capabilities of the repository. We sought to characterize criteria as easy (searchable in a typical repository), hard (requiring manual review of the record data), and impossible (not typically available in EHR repositories). We obtained 292 criteria from 20 studies available from Clinical Trials.gov and rated them according to our three types, plus a fourth mixed type. We had good agreement among three independent reviewers and chose 274 criteria that were characterized by single types for further analysis. The resulting analysis showed typical features of criteria that do and dont map to repositories. We propose that these features be used to guide researchers in specifying eligibility criteria to improve development of enrollment workflow, including the definition of EHR repository queries for self-service or analyst-mediated retrievals.

关键词： Informatics Biomedical Research Electronic Health Records

作者: James J.Cimino William J.Lancaster Mathew C.Wyatt

作者单位: Informatics Institute,University of Alabama at Birmingham,Birmingham,Alabama,USA Department of Biomedical Informatics,Vanderbilt University,Nashville,Tennessee,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 341-345

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）