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Review
. 2023 Nov 28;10(2):e002432.
doi: 10.1136/openhrt-2023-002432.

Harnessing the power of clinical decision support systems: challenges and opportunities

Zhao Chen #  1 , Ning Liang #  1 , Haili Zhang  1 , Huizhen Li  1 , Yijiu Yang  1 , Xingyu Zong  1 , Yaxin Chen  1 , Yanping Wang  2 , Nannan Shi  2
Affiliations
Review

Harnessing the power of clinical decision support systems: challenges and opportunities

Zhao Chen et al. Open Heart. .

Abstract

Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the point of care. However, the adoption and optimisation of these systems remain a challenge. This review aims to provide an overview of the current state of CDSS, discussing their development, implementation, benefits, limitations and future directions. We also explore the potential for enhancing their effectiveness and provide an outlook for future developments in this field. There are several challenges in CDSS implementation, including data privacy concerns, system integration and clinician acceptance. While CDSS have demonstrated significant potential, their adoption and optimisation remain a challenge.

Keywords: global health; health services; outcome assessment, health care; public health; quality of health care.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
The history of CDSS. AI, artificial intelligence; CDSS, clinical decision support system.
Figure 2
Figure 2
PRECISE-CARING for the benefits of CDSS. CDSS, clinical decision support system.
Figure 3
Figure 3
CAUCICETCI: multifaceted strategies for CDSS advancement. AI, artificial intelligence; CDSS, clinical decision support system; EHRs, electronic health records.
See this image and copyright information in PMC

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