Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine-Reference-Cited by-同舟云学术

Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine

Published:2022-01-14 Issue: Volume: Page:
ISSN:0926-9630
Container-title:Studies in Health Technology and Informatics
language:
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Author:

Vogel Stefan¹,Reiswich Andreas²,Ritter Zully¹,Schmucker Michael²,Fuchs Angela³,Pischek-Koch Kerstin¹,Wache Stefanie¹,Esslinger Katrin³,Dietrich Michael⁴,Kesztyüs Tibor¹,Krefting Dagmar¹,Haag Martin²,Blaschke Sabine³

Affiliation:

1. Department of Medical Informatics, University Medical Center Göttingen, Germany

2. GECKO Institute, Heilbronn University of Applied Sciences, Germany

3. Emergency Department, University Medical Center Göttingen, Germany

4. German Research Center for Artificial Intelligence Berlin, Germany

Abstract

The development of clinical decision support systems (CDSS) is complex and requires user-centered planning of assistive interventions. Especially in the setting of emergency care requiring time-critical decisions and interventions, it is important to adapt a CDSS to the needs of the user in terms of acceptance, usability and utility. In the so-called ENSURE project, a user-centered approach was applied to develop the CDSS intervention. In the context of this paper, we present a path to the first mockup development for a CDSS interface by addressing Campbell’s Five Rights within the CDSS workflow.

Publisher

IOS Press

Link

https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI210900

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1. A multidimensional framework to study the clinical decision support system;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20

2. Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care;Health Services and Outcomes Research Methodology;2023-09-15

3. Development of a machine learning-based clinical decision support system to predict clinical deterioration in patients visiting the emergency department;Scientific Reports;2023-05-26

4. Clinical Decision Support System Braced with Artificial Intelligence: A Review;Third International Conference on Image Processing and Capsule Networks;2022