Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings
By Monique W. M. Jaspers, M. Smeulers, H. Vermeulen, L. Peute. J. Am. Medical Informatics Assoc., 2011
536 citations recorded by the source corpus.
Subfields: Family Practice, Health Informatics, Health Information Management
View Paper: https://www.semanticscholar.org/paper/f2cfcff3917551a108d97df64bac9872cec022de
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Citations in the corpus
- Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis (2018, background): “Studies have revealed that responses to CDSSs can be unfavorable when resulting improvements in patient outcomes are inconsistent [6].”
- Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “Few studies of CDSS have shown any improvement in outcomes, and any such effects seen have achieved only low statistical significance [40].”
- Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes (2019, background): “Interestingly, almost all these tools have failed when migrating from research labs to clinical practice in the past 30 years [5, 7, 8].”
- Augmenting Medical Diagnosis Decisions? An Investigation into Physicians' Decision-Making Process with Artificial Intelligence (2021, background): “It demonstrates many benefits of system advice including improved adherence to medical guidelines, decreased medical errors, and increased medical decision quality (Jaspers et al. 2011).”