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Digital Health (DH) tools enable easier collection of patient-generated health data (PGHD) for chronic illness management. This study addresses DH challenges and develops a project to integrate PGHD into Austria's Electronic Health Record (ELGA).

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Area of Science:

  • Digital Health
  • Health Informatics
  • Biomedical Data Management

Background:

  • Digital Health (DH) tools facilitate the collection, utilization, and sharing of patient-generated health data (PGHD).
  • PGHD offers significant potential for monitoring chronic diseases, predicting health outcomes, and enhancing clinical research.
  • Current integration of PGHD into clinical practice faces technical and usability challenges, limiting its full potential.

Purpose of the Study:

  • To explore the opportunities and challenges associated with integrating PGHD into clinical workflows.
  • To introduce the DH-Convener project, designed to facilitate PGHD integration into the Austrian Electronic Health Record (ELGA).
  • To propose an integrative technical-clinical-user approach for a functional health data exchange ecosystem.

Main Methods:

  • Review of existing Digital Health tools and PGHD integration strategies.
  • Development of the DH-Convener project framework.
  • Design of a technical-clinical-user model for data exchange.

Main Results:

  • Identified key technical and user-related barriers to PGHD integration.
  • Developed a project blueprint (DH-Convener) for seamless PGHD incorporation into ELGA.
  • Proposed a holistic approach for a connected health data ecosystem.

Conclusions:

  • Addressing DH challenges is crucial for leveraging PGHD in healthcare.
  • The DH-Convener project offers a viable solution for integrating PGHD into ELGA.
  • An integrative approach is essential for creating a functional health data exchange ecosystem among patients, providers, and researchers.