Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure PatientsShow others and affiliations
2023 (English)In: Caring is sharing - exploiting the value in data for health and innovation, Amsterdam: IOS Press, 2023, Vol. 302, p. 556-560Conference paper, Published paper (Refereed)
Abstract [en]
The evolution of clinical decision support (CDS) tools has been improved by usage of new technologies, yet there is an increased need to develop user-friendly, evidence-based, and expert-curated CDS solutions. In this paper, we show with a use-case how interdisciplinary expertise can be combined to develop CDS tool for hospital readmission prediction of heart failure patients. We also discuss how to make the tool integrated in clinical workflow by understanding end-user needs and have clinicians-in-the-loop during the different development stages. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2023. Vol. 302, p. 556-560
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 302
Keywords [en]
Hospital Readmission Prediction, Human-Centered AI, Interdisciplinary Healthcare
National Category
Cardiac and Cardiovascular Systems
Research subject
Health Innovation, IDC
Identifiers
URN: urn:nbn:se:hh:diva-51974DOI: 10.3233/SHTI230204ISI: 001071432900147PubMedID: 37203747Scopus ID: 2-s2.0-85159763479ISBN: 9781643683881 (print)OAI: oai:DiVA.org:hh-51974DiVA, id: diva2:1811521
Conference
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, 22-25 May, 2023
Funder
Knowledge Foundation
Note
This research is included in the CAISR Health research profile.
2023-11-132023-11-132024-12-03Bibliographically approved