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Published on: February 23, 2024
Virtual patients on the semantic Web: a proof-of-application study
Eleni Dafli1, Panagiotis Antoniou, Lazaros Ioannidis
1Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
This study introduces an OpenLabyrinth extension enabling semantic annotation and sharing of virtual patients, enhancing medical education resource reuse. The system effectively facilitates the repurposing of virtual patient cases for diverse learning applications.
Area of Science:
- Medical Education Technology
- Health Informatics
- Semantic Web Applications
Background:
- Virtual patients are interactive simulations crucial for healthcare education, particularly in clinical decision-making.
- A significant challenge lies in the standardized retrieval and repurposing of virtual patients across different platforms.
- Semantic Web technologies offer a solution for structured information, enabling easier exchange and reuse of these educational resources.
Purpose of the Study:
- To extend the OpenLabyrinth platform for improved virtual patient repurposing and retrieval.
- To facilitate the discovery, sharing, and reuse of medical educational resources through the mEducator Best Practice Network.
- To address the lack of standardized mechanisms for virtual patient content retrieval and repurposing.
Main Methods:
- Developed a standalone web distribution with an OpenLabyrinth extension for semantic annotation of virtual patients.
- Implemented semantic annotation to enable intelligent searches, complex queries, and inter-institutional exchange.
- Conducted a three-step evaluation: expert reviews, user testing with healthcare professionals and students, and assessment of repurposed learning objects.
Main Results:
- Evaluated 30 repurposed virtual patient cases with 98 participants, highlighting the system's core repurposing capacity.
- Extensive metadata facilitated user exploration and resource filtering; usability issues were minor.
- Positive feedback on educational content and system usability was consistently reported across evaluations.
Conclusions:
- The OpenLabyrinth extension, integrated with the semantic mEducator3.0 approach, provides an effective virtual patient sharing mechanism.
- This approach leverages Semantic Web services to federate clinical and educational data, enhancing resource accessibility.
- The tool's successful integration into OpenLabyrinth 3.3 positions it to support diverse educational innovations, including simulation-based learning and mobile learning infrastructure.
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