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Status: Bibliographieeintrag

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Verfasst von:Leinert, Christoph [VerfasserIn]   i
 Fotteler, Marina [VerfasserIn]   i
 Kocar, Thomas Derya [VerfasserIn]   i
 Dallmeier, Dhayana [VerfasserIn]   i
 Kestler, Hans A. [VerfasserIn]   i
 Wolf, Dennis [VerfasserIn]   i
 Gebhard, Florian [VerfasserIn]   i
 Uihlein, Adriane [VerfasserIn]   i
 Steger, Florian [VerfasserIn]   i
 Kilian, Reinhold [VerfasserIn]   i
 Mueller-Stierlin, Annabel S. [VerfasserIn]   i
 Michalski, Christoph W. [VerfasserIn]   i
 Mihaljevic, André [VerfasserIn]   i
 Bolenz, Christian [VerfasserIn]   i
 Zengerling, Friedemann [VerfasserIn]   i
 Leinert, Elena [VerfasserIn]   i
 Schütze, Sabine [VerfasserIn]   i
 Hoffmann, Thomas K. [VerfasserIn]   i
 Onder, Graziano [VerfasserIn]   i
 Andersen-Ranberg, Karen [VerfasserIn]   i
 O’Neill, Desmond [VerfasserIn]   i
 Wehling, Martin [VerfasserIn]   i
 Schobel, Johannes [VerfasserIn]   i
 Swoboda, Walter [VerfasserIn]   i
 Denkinger, Michael [VerfasserIn]   i
Titel:Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead)
Titelzusatz:a study protocol for the development of a digital geriatrician
Verf.angabe:Christoph Leinert, Marina Fotteler, Thomas Derya Kocar, Dhayana Dallmeier, Hans A. Kestler, Dennis Wolf, Florian Gebhard, Adriane Uihlein, Florian Steger, Reinhold Kilian, Annabel S. Mueller-Stierlin, Christoph W. Michalski, André Mihaljevic, Christian Bolenz, Friedemann Zengerling, Elena Leinert, Sabine Schütze, Thomas K. Hoffmann, Graziano Onder, Karen Andersen-Ranberg, Desmond O’Neill, Martin Wehling, Johannes Schobel, Walter Swoboda, Michael Denkinger, for the SURGE-Ahead Study Group
Jahr:2023
Umfang:18 S.
Illustrationen:Illustrationen
Fussnoten:Veröffentlicht: 16. Juni 2023 ; Gesehen am 29.08.2023
Titel Quelle:Enthalten in: PLOS ONE
Ort Quelle:San Francisco, California, US : PLOS, 2006
Jahr Quelle:2023
Band/Heft Quelle:18(2023), 6, Artikel-ID e0287230, Seite 1-18
ISSN Quelle:1932-6203
Abstract:Introduction Geriatric co-management is known to improve treatment of older adults in various clinical settings, however, widespread application of the concept is limited due to restricted resources. Digitalization may offer options to overcome these shortages by providing structured, relevant information and decision support tools for medical professionals. We present the SURGE-Ahead project (Supporting SURgery with GEriatric co-management and Artificial Intelligence) addressing this challenge. Methods A digital application with a dashboard-style user interface will be developed, displaying 1) evidence-based recommendations for geriatric co-management and 2) artificial intelligence-enhanced suggestions for continuity of care (COC) decisions. The development and implementation of the SURGE-Ahead application (SAA) will follow the Medical research council framework for complex medical interventions. In the development phase a minimum geriatric data set (MGDS) will be defined that combines parametrized information from the hospital information system with a concise assessment battery and sensor data. Two literature reviews will be conducted to create an evidence base for co-management and COC suggestions that will be used to display guideline-compliant recommendations. Principles of machine learning will be used for further data processing and COC proposals for the postoperative course. In an observational and AI-development study, data will be collected in three surgical departments of a University Hospital (trauma surgery, general and visceral surgery, urology) for AI-training, feasibility testing of the MGDS and identification of co-management needs. Usability will be tested in a workshop with potential users. During a subsequent project phase, the SAA will be tested and evaluated in clinical routine, allowing its further improvement through an iterative process. Discussion The outline offers insights into a novel and comprehensive project that combines geriatric co-management with digital support tools to improve inpatient surgical care and continuity of care of older adults. Trial registration German clinical trials registry (Deutsches Register für klinische Studien, DRKS00030684), registered on 21st November 2022.
DOI:doi:10.1371/journal.pone.0287230
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1371/journal.pone.0287230
 kostenfrei: Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0287230
 DOI: https://doi.org/10.1371/journal.pone.0287230
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Artificial intelligence
 Geriatric care
 Geriatric rehabilitation
 Geriatrics
 Inpatients
 Surgical and invasive medical procedures
 Trauma surgery
 Urology
K10plus-PPN:1858139023
Verknüpfungen:→ Zeitschrift

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