Evaluation of a clinical decision support system in the domain of chronic wound management

Autor(en): Vogel, S.
Richter, J.
Wache, S.
Pischek-Koch, K.
Auchter, S.
Zebbities, S.
Güttler, K.
Hübner, U.
Pryzsucha, M.
Hüsers, J.
Sellemann, B.
Stichwörter: Artificial Intelligence; Chronic Wound; Clinical Decision Support System; Decision Support Systems, Clinical; human; Humans; Motivation; Software; software, Artificial Intelligence; User-centered Design
Erscheinungsdatum: 2021
Herausgeber: IOS Press
Journal: Public Health and Informatics: Proceedings of MIE 2021
Startseite: 535
Seitenende: 539
Zusammenfassung: 
The PosiThera project focuses on the management of chronic wounds, which is multi-professional and multi-disciplinary. For this context, a software prototype was developed in the project, which is intended to support medical and nursing staff with the assistance of artificial intelligence. In accordance with the user-centred design, national workshops were held at the beginning of the project with the involvement of domain experts in wound care in order to identify requirements and use cases of IT systems in wound care, with a focus on AI. In this study, the focus was on involving nursing and nursing science staff in testing the software prototype to gain insights into its functionality and usability. The overarching goal of the iterative testing and adaptation process is to further develop the prototype in a way that is close to care. © 2021 European Federation for Medical Informatics (EFMI) and IOS Press. © 2021 European Federation for Medical Informatics (EFMI) and IOS Press. All rights reserved.
ISBN: 9781643681856
9781643681849
DOI: 10.3233/SHTI210228
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107238691&doi=10.3233%2fSHTI210228&partnerID=40&md5=53f3c09e7f000f6f9025de64aa5c83b2

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