Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools

Author:

Michel Jeremy J12,Flores Emilia J3,Dutcher Lauren45,Mull Nikhil K36,Tsou Amy Y17

Affiliation:

1. Evidence-based Practice Center, Center for Clinical Evidence and Guidelines, ECRI, Plymouth Meeting, Pennsylvania, USA

2. Department of Biomedical and Healthcare Informatics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA

3. Center for Evidence-based Practice, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA

4. Division of Infectious Diseases, Department of Medicine

5. Department of Biostatistics, Epidemiology, and Informatics

6. Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA

7. Division of Neurology, Michael J Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA

Abstract

Abstract Objective To develop a process for translating semi-structured clinical decision support (CDS) into shareable, computer-readable CDS. Materials and Methods We developed a systematic and transparent process using publicly available tools (eGLIA, GEM Cutter, VSAC, and the CDS Authoring Tool) to translate an evidence-based clinical pathway (CP) into a Clinical Quality Language (CQL)-encoded CDS artifact. Results We produced a 4-phase process for translating a CP into a CQL-based CDS artifact. CP content was extracted using GEM into discrete clinical concepts, encoded using standard terminologies into value sets on VSAC, evaluated against workflows using a wireframe, and finally structured as a computer readable CDS artifact using CQL. This process included a quality control step and intermediate products to support transparency and reuse by other CDS developers. Discussion Translating a CP into a shareable, computer-readable CDS artifact was accomplished through a systematic process. Our process identified areas of ambiguity and gaps in the CP, which generated improvements in the CP. Collaboration with clinical subject experts and the CP development team was essential for translation. Publicly available tools were sufficient to support most translation steps, but expression of certain complex concepts required manual encoding. Conclusion Standardized development of CDS from a CP is feasible using a systematic 4-phase process. CPs represent a potential reservoir for developers of evidence-based CDS. Aspects of CP development simplified portions of the CDS translation process. Publicly available tools can facilitate CDS development; however, enhanced tool features are needed to model complex CDS statements.

Funder

Agency for Healthcare Research and Quality

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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