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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
Editors	Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	421-425
Number of pages	5
ISBN (Print)	9783031093418
DOIs	https://doi.org/10.1007/978-3-031-09342-5_43
Publication status	Published - 2022
Event	20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Duration: Jun 14 2022 → Jun 17 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13263 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Country/Territory	Canada
City	Halifax
Period	6/14/22 → 6/17/22

Bibliographical note

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

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

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

Cite this

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. In M. Michalowski, S. S. R. Abidi, & S. Abidi (Eds.), 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. ed. / 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).

Research output: Chapter in Book/Report/Conference proceeding › 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. in M Michalowski, SSR Abidi & S Abidi (eds), 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. In Michalowski M, Abidi SSR, Abidi S, editors, 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. editor / 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

Abstract

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