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Harnessing the power of clinical decision support systems: challenges and opportunities
Open accessAbstract
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.
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“CDSS are software tools designed to help healthcare professionals make clinical decisions by integrating patient-specific information with a knowledge database using advanced algorithms to deliver customized recommendations or assessments in real time [211].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [211]
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Metadata
- Authors
- Chen, Z., Liang, N., Zhang, H., Li, H., Yang, Y., Zong, X., Chen, Y., Wang, Y., & Shi, N.
- Affiliations
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- China Academy of Chinese Medical Sciences (CN)
- Corresponding author
- Wang, Yanping
- Shi, Nannan
- Venue
- Open Heart
- Publisher
- BMJ
- Published
- 2023-11
- Volume
- 10
- Issue
- 2
- Pages
- e002432
- ISSN
- 2053-3624 (ISSN-L)
- PMC
- PMC10685930
- OpenAlex
- W4389101129
- Cited by
- 244
- References
- 121
- Citations by year
- 2026: 89 · 2025: 120 · 2024: 35
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Open Heart (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- China Academy of Chinese Medical Sciences Independent Selection Project (Z0830)
- Institute of Basic Research in Clinical Medicine Independent Selection Project, China Academy of Chinese Medical Sciences (Z0830-1)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- clinical decision support systems, evidence-based recommendations, medical errors, clinical efficiency, data privacy, system integration, clinician acceptance, point-of-care decision support, patient outcomes
- MeSH terms
- Delivery of Health Care, Humans, Decision Support Systems, Clinical
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