Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

William Van Woensel; Samina Abidi; Karthik Tennankore; George Worthen; Syed Sibte Raza Abidi

doi:10.1007/978-3-031-09342-5_43

Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

William Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi

Medicine

Résultat de recherche: Conference contribution

2 Citations (Scopus)

Résumé

By computerizing paper-based clinical guidelines on diagnosing and treating illnesses, knowledge-driven Clinical Decision Support (CDS) can issue salient and timely recommendations in line with the latest evidence. To access up-to-date patient health data, such CDS require interoperability with Electronic Health Records (EHR). The GLEAN model supports knowledge-based CDS by (a) encoding the guideline decision logic using Task Network Models (TNM) based on an extensible Finite State Machine (FSM); and (b) associating clinical tasks with HL7 FHIR resources that offer interoperability with FHIR-compliant EHR. In this demo, we show an online visualization tool that explains GLEAN CIG as visual and interactive workflows. Clinicians can dynamically submit HL7 FHIR patient data using the tool to drive the traversal of the workflow.

Langue d'origine	English
Titre de la publication principale	Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
Éditeurs	Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Maison d'édition	Springer Science and Business Media Deutschland GmbH
Pages	421-425
Nombre de pages	5
ISBN (imprimé)	9783031093418
DOI	https://doi.org/10.1007/978-3-031-09342-5_43
Statut de publication	Published - 2022
Événement	20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Durée: juin 14 2022 → juin 17 2022

Séries de publication

Prénom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13263 LNAI
ISSN (imprimé)	0302-9743
ISSN (électronique)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Pays/Territoire	Canada
Ville	Halifax
Période	6/14/22 → 6/17/22

Note bibliographique

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Accès au document

10.1007/978-3-031-09342-5_43

Autres fichiers et liens

Citer

Van Woensel, W., Abidi, S., Tennankore, K., Worthen, G., & Abidi, S. S. R. (2022). Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. Dans M. Michalowski, S. S. R. Abidi, & S. Abidi (Éds.), Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings (pp. 421-425). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13263 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09342-5_43

Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. / Van Woensel, William; Abidi, Samina; Tennankore, Karthik et al.
Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. éd. / Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi. Springer Science and Business Media Deutschland GmbH, 2022. p. 421-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13263 LNAI).

Résultat de recherche: Conference contribution

Van Woensel, W, Abidi, S, Tennankore, K, Worthen, G & Abidi, SSR 2022, Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. dans M Michalowski, SSR Abidi & S Abidi (éds), Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13263 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 421-425, 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, Canada, 6/14/22. https://doi.org/10.1007/978-3-031-09342-5_43

Van Woensel W, Abidi S, Tennankore K, Worthen G, Abidi SSR. Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. Dans Michalowski M, Abidi SSR, Abidi S, éditeurs, Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 421-425. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-09342-5_43

Van Woensel, William ; Abidi, Samina ; Tennankore, Karthik et al. / Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings. éditeur / Martin Michalowski ; Syed Sibte Raza Abidi ; Samina Abidi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 421-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

Résumé

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Conference

Note bibliographique

ASJC Scopus Subject Areas

Accès au document

Autres fichiers et liens

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