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Playing in the clinical decision support sandbox: tools and training for all
Andrey Soares1, Majid Afshar2, Chris Moesel3
1Division 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.
The CDS-Sandbox, a virtual machine for Clinical Decision Support (CDS) developers, successfully integrated open-source tools. Workshops demonstrated its utility, with participants showing understanding and providing positive feedback.
Area of Science:
- Clinical Informatics
- Health IT Development
Background:
- Clinical Decision Support (CDS) systems are crucial for improving healthcare.
- Developing and testing CDS artifacts requires specialized tools and environments.
- Open-source technologies like FHIR and CQL are increasingly important in CDS development.
Purpose of the Study:
- To introduce the CDS-Sandbox, a cloud-based virtual machine.
- To facilitate the use of FHIR- and CQL-based open-source tools for CDS development and testing.
- To support developers and implementers in building and validating CDS artifacts.
Main Methods:
- The CDS-Sandbox was developed with integrated components for authoring and testing CDS artifacts.
- Two workshops were conducted at the AMIA Annual Symposia (2020, 2021) to demonstrate open-source CDS tools.
- Tutorial materials were made publicly available.
Main Results:
- The CDS-Sandbox successfully integrated key open-source CDS tools.
- Workshops were well-attended, with participants demonstrating understanding of the materials.
- Positive participant feedback was received following the workshops.
Conclusions:
- The CDS-Sandbox effectively supports the integrated use of essential open-source CDS tools.
- Publicly available tutorial materials enhanced understanding of CDS infrastructure components.
- The platform can introduce CDS concepts and practices to the clinical informatics community.
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