Charpentier Peter A, Mecca Marcia C, Brandt Cynthia, Fried Terri R
Program on Aging, Yale School of Medicine, New Haven, Connecticut, USA.
Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
JAMIA Open. 2023 Jun 16;6(2):ooad041. doi: 10.1093/jamiaopen/ooad041. eCollection 2023 Jul.
To develop the architecture for a clinical decision support system (CDSS) linked to the electronic health record (EHR) using the tools provided by Research Electronic Data Capture (REDCap) to assess medication appropriateness in older adults with polypharmacy.
The tools available in REDCap were used to create the architecture for replicating a previously developed stand-alone system while overcoming its limitations.
The architecture consists of data input forms, drug- and disease-mapper, rules engine, and report generator. The input forms integrate medication and health condition data from the EHR with patient assessment data. The rules engine evaluates medication appropriateness through rules built through a series of drop-down menus. The rules generate output, which are a set of recommendations to the clinician.
This architecture successfully replicates the stand-alone CDSS while addressing its limitations. It is compatible with several EHRs, easily shared among the large community using REDCap, and readily modifiable.
利用研究电子数据采集（REDCap）提供的工具，开发一个与电子健康记录（EHR）相链接的临床决策支持系统（CDSS）架构，以评估患有多重用药的老年人的用药合理性。
使用REDCap中可用的工具来创建架构，以复制先前开发的独立系统，同时克服其局限性。
该架构由数据输入表单、药物和疾病映射器、规则引擎和报告生成器组成。输入表单将来自EHR的用药和健康状况数据与患者评估数据整合在一起。规则引擎通过一系列下拉菜单构建的规则来评估用药合理性。这些规则生成输出，即给临床医生的一组建议。
该架构成功复制了独立的CDSS，同时解决了其局限性。它与多个EHR兼容，可通过REDCap在广大社区中轻松共享，并且易于修改。
