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Research networks can now share clinical apps, extending data sharing infrastructure. This facilitates pragmatic clinical trials and supports a learning health system by enabling app sharing across institutions.

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Area of Science:

  • Health Informatics
  • Clinical Data Sharing
  • Pragmatic Clinical Trials

Background:

  • Research networks invest heavily in data sharing infrastructure for pragmatic clinical trials.
  • Existing infrastructure primarily supports data sharing, not clinical application sharing.

Purpose of the Study:

  • To investigate the feasibility of sharing clinical apps among institutions in a research network.
  • To adapt existing data sharing infrastructure for clinical app deployment.

Main Methods:

  • Imported patient data into i2b2 repositories using the PCORI Clinical Data Model (CDM).
  • Adapted SMART-on-FHIR cell for CDM-to-FHIR translation of demographics, labs, and diagnoses.
  • Validated the platform manually and tested with four SMART app gallery applications.

Main Results:

  • Demonstrated a viable approach to extend research infrastructure for shared clinical apps.
  • Successfully translated and served patient data (demographics, labs, diagnoses) for app use.
  • Identified and highlighted challenges associated with implementing shared clinical apps.

Conclusions:

  • The developed approach can transform research networks into clinical app sharing networks.
  • Tooling and data services can facilitate broader adoption and support a learning health system.
  • Extending research infrastructure for app sharing enhances collaborative clinical research and decision-making.