National Patient Safety Foundation
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
An analysis of electronic health record-related patient safety concerns
Derek W Meeks, Michael W. Smith, Leslie Taylor et al.
2014 · 209 Zit.
Burden of serious harms from diagnostic error in the USA
David E. Newman‐Toker, Najlla Nassery, Adam C. Schaffer et al.
2023 · 187 Zit.
Better medicine through machine learning: What’s real, and what’s artificial?
Suchi Saria, Atul J. Butte, Aziz Sheikh
2018 · 113 Zit.
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws et al.
2024 · 105 Zit.
Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Joanne Palmer, Joseph Alderman et al.
2022 · 80 Zit.
To do no harm — and the most good — with AI in health care
Carey Beth Goldberg, Laura Adams, David Blumenthal et al.
2024 · 69 Zit.
Accuracy of a computerized clinical decision-support system for asthma assessment and management
Laura J. Hoeksema, Alia Bazzy‐Asaad, Edwin A. Lomotan et al.
2011 · 47 Zit.
AI language models cannot replace human research participants
Jacqueline Harding, William D’Alessandro, N. G. Laskowski et al.
2023 · 45 Zit.
An Evaluation of the Veterans Health Administration’s Clinical Reminders System: A National Survey of Generalists
Constance H. Fung, Jerry S. Tsai, Armine Lulejian et al.
2008 · 39 Zit.
Cognitive Debiasing Strategies: A Faculty Development Workshop for Clinical Teachers in Emergency Medicine
Michelle Daniel, Michele Carney, Sorabh Khandelwal et al.
2017 · 32 Zit.
Analysis of Radiology Report Recommendation Characteristics and Rate of Recommended Action Performance
Tiantian White, Mark D. Aronson, Scot B. Sternberg et al.
2022 · 32 Zit.
Assessment of Health Information Technology–Related Outpatient Diagnostic Delays in the US Veterans Affairs Health Care System
Lauren Powell, Dean F. Sittig, Kristin Chrouser et al.
2020 · 30 Zit.
Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists’ outcomes
Katharina Wenderott, Jim Krups, Julian A. Luetkens et al.
2023 · 27 Zit.
Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet
Mikael Hoffmann, Robert Vander Stichele, David W. Bates et al.
2020 · 25 Zit.
Business Intelligence for the Radiologist: Making Your Data Work for You
Tessa S. Cook, Paul Nagy
2014 · 25 Zit.