Clinical Decision Support Systems

Andreas Teufel; Harald Binder

doi:10.1159/000519420

Clinical Decision Support Systems

Visc Med. 2021 Dec;37(6):491-498. doi: 10.1159/000519420. Epub 2021 Sep 28.

Authors

Andreas Teufel^{1

2}, Harald Binder³

Affiliations

¹ Department of Medicine II, Section of Hepatology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
² Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
³ Institute of Medical Biometry and Statistics (IMBI), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Abstract

Background: By combining up-to-date medical knowledge and steadily increasing patient data, a new level of medical care can emerge.

Summary and key messages: Clinical decision support systems (CDSSs) are an arising solution to handling rich data and providing them to health care providers in order to improve diagnosis and treatment. However, despite promising examples in many areas, substantial evidence for a thorough benefit of these support solutions is lacking. This may be due to a lack of general frameworks and diverse health systems around the globe. We therefore summarize the current status of CDSSs in medicine but also discuss potential limitations that need to be overcome in order to further foster future development and acceptance.

Keywords: Artificial intelligence; Clinical decision support systems; Digital medicine; Endoscopy; Gastroenterology; Hepatology; Knowledge-based system.

Publication types

Review