在临床决策支持的演练场中实践：面向所有人的工具与培训。

Playing in the clinical decision support sandbox: tools and training for all.

作者信息

Soares Andrey, Afshar Majid, Moesel Chris, Grasso Michael A, Pan Eric, Solomonides Anthony, Richardson Joshua E, Barone Eleanor, Lomotan Edwin A, Schilling Lisa M

机构信息

Division of General Internal Medicine, Department of Medicine, and the Data Science to Patient Value Initiative, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Department of Medicine, School of Medicine and Public Health, University of Wisconsin Madison, Madison, Wisconsin, USA.

出版信息

JAMIA Open. 2023 Jun 21;6(2):ooad038. doi: 10.1093/jamiaopen/ooad038. eCollection 2023 Jul.

DOI:10.1093/jamiaopen/ooad038

PMID:37351012

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10283349/

Abstract

OBJECTIVES

Introduce the CDS-Sandbox, a cloud-based virtual machine created to facilitate Clinical Decision Support (CDS) developers and implementers in the use of FHIR- and CQL-based open-source tools and technologies for building and testing CDS artifacts.

MATERIALS AND METHODS

The CDS-Sandbox includes components that enable workflows for authoring and testing CDS artifacts. Two workshops at the 2020 and 2021 AMIA Annual Symposia were conducted to demonstrate the use of the open-source CDS tools.

RESULTS

The CDS-Sandbox successfully integrated the use of open-source CDS tools. Both workshops were well attended. Participants demonstrated use and understanding of the workshop materials and provided positive feedback after the workshops.

DISCUSSION

The CDS-Sandbox and publicly available tutorial materials facilitated an understanding of the leading-edge open-source CDS infrastructure components.

CONCLUSION

The CDS-Sandbox supports integrated use of the key CDS open-source tools that may be used to introduce CDS concepts and practice to the clinical informatics community.

摘要