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Computer-Supported Collaborative Design of Standardized Clinical Cases: Algorithm Development and Validation.

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Summary

This study developed an interoperable workflow ecosystem for creating and sharing medical clinical cases. It enables collaborative case design, export via HL7 FHIR standards, and deployment in learning management systems (LMSs).

Keywords:
case-based learningclinical casescollaborative clinical casescollaborative learninginteroperabilitystandards

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Area of Science:

  • Medical Education Technology
  • Health Informatics
  • Collaborative Learning

Background:

  • Computer-supported collaborative clinical case creation is vital but lacks interoperability.
  • Existing platforms isolate knowledge, hindering case reuse and sharing.
  • A standardized workflow is needed to democratize medical education resources.

Purpose of the Study:

  • To demonstrate a feasible workflow ecosystem for collaborative clinical case creation, export, and deployment.
  • To enable seamless sharing of clinical cases across different educational platforms.
  • To overcome limitations of isolated, proprietary educational systems.

Main Methods:

  • Developed a three-platform ecosystem: Mosaico for case design, Clavy for repository management, and Moodle as an LMS.
  • Utilized Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) for case export.
  • Employed e-learning standards (IMS-CP, SCORM) for deployment in Learning Management Systems (LMSs).

Main Results:

  • An interoperable ecosystem was successfully implemented, automating case creation, HL7 FHIR export, and LMS deployment.
  • Generated Instructional Management Systems Content Packaging (IMS-CP) compatible with standard LMSs.
  • Demonstrated the democratization and sharing of clinical cases in standard, interoperable formats.

Conclusions:

  • A standards-based workflow was proposed, implemented, and validated for inter-platform clinical case management.
  • The ecosystem effectively transforms collaboratively created cases for web-based deployment in LMSs.
  • Achieved interoperability between heterogeneous technologies for enhanced medical education resource sharing.