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CHCi - A Dynamic Data Platform for Clinical Data Capture and Use.

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Academic medical centers can now better use clinical data for quality improvement and research. A new dynamic data platform supports flexible data collection beyond standard electronic health records, enhancing secondary data use.

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Area of Science:

  • Biomedical Informatics
  • Health Data Management
  • Clinical Data Science

Background:

  • Academic medical centers aim to leverage clinical data for quality improvement (QI) and research.
  • Current electronic health record (EHR) systems often lack flexibility for collecting research-specific data.
  • This limitation hinders the full potential of secondary data use in healthcare.

Purpose of the Study:

  • To design and develop a dynamic data platform to address the limitations of EHRs for secondary data use.
  • To support clinicians in collecting additional patient data critical for QI and research.
  • To enable flexible data capture for purposes like patient registry inclusion criteria.

Main Methods:

  • Developed a dynamic data platform with considerations for data models, query functions, coding, controlled vocabulary, UI design, access control, and interoperability.
  • Employed an agile software development approach with iterative refinement through clinician partnerships.
  • Collaborated with frontline clinicians at an academic congenital heart center.

Main Results:

  • The dynamic data platform has been successfully implemented since 2013.
  • The platform effectively meets the evolving data needs of clinicians for QI and research.
  • Demonstrated successful integration of flexible data collection within a clinical setting.

Conclusions:

  • The developed dynamic data platform enhances the secondary use of clinical data for QI and research.
  • Partnership with clinicians and agile development were key to the platform's success.
  • Future work will focus on improving platform efficiency and incorporating advanced interoperability standards.