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Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows

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Artificial Intelligence in Medicine (AIME 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13897))

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Abstract

Decentralized clinical decision support (CDS), using the Web browser as a local application platform, fully decouples the CDS from vendor-specific EMR, removes reliance on server infrastructure, and does not require custom software. Using GLEAN, a clinical workflow can be loaded within a Web browser to provide decentralized and specialized CDS at a point-of-care. To that end, GLEAN workflows include all knowledge needed for their local execution; the standards-based and secure data sharing with EMR, if needed; and detection of multimorbidity conflicts. This specialized CDS will execute all decision logic locally in the Web browser; using SMART-on-FHIR, locally entered data can be securely submitted to a FHIR-compliant EMR, and remote data can be retrieved. In such a decentralized setting, clinicians can securely collaborate on multimorbidity patients: (1) by sharing workflow traces, i.e., progression of their local workflows, other clinicians can keep appraised of their decision making; and (2) by leveraging medical online knowledge sources, conflicts (e.g., drug-drug, drug-interaction) between multimorbidity decisions can be detected and resolved.

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References

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Author information

Authors and Affiliations

  1. Telfer School of Management, University of Ottawa, Ottawa, Canada

    William Van Woensel

  2. Medical Informatics Faculty of Medicine, Dalhousie University, Halifax, Canada

    Samina Abidi

  3. NICHE Research Group, Dalhousie University, Halifax, Canada

    Syed Sibte Raza Abidi

Authors
  1. William Van Woensel
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  2. Samina Abidi
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  3. Syed Sibte Raza Abidi
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Corresponding author

Correspondence to William Van Woensel .

Editor information

Editors and Affiliations

  1. University of Murcia, Murcia, Spain

    Jose M. Juarez

  2. Universitat Jaume I, Castellón de la Plana, Spain

    Mar Marcos

  3. University of Maribor, Maribor, Slovenia

    Gregor Stiglic

  4. Brunel University London, Uxbridge, UK

    Allan Tucker

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Van Woensel, W., Abidi, S., Abidi, S.S.R. (2023). Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows. In: Juarez, J.M., Marcos, M., Stiglic, G., Tucker, A. (eds) Artificial Intelligence in Medicine. AIME 2023. Lecture Notes in Computer Science(), vol 13897. Springer, Cham. https://doi.org/10.1007/978-3-031-34344-5_44

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  • DOI: https://doi.org/10.1007/978-3-031-34344-5_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34343-8

  • Online ISBN: 978-3-031-34344-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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