qualitysafety.bmj3d
Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases
Background Surgical errors in ophthalmology can have devastating consequences. We developed an artificial intelligence (AI)-based surgical safety system to prevent errors in patient identification, ...
qualitysafety.bmj6d
The problem with uptake as a quality metric for population-based screening programmes
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qualitysafety.bmj21h
Effect of a diabetes order set on glycaemic management and control in the hospital
M T Korytkowski, Falk, Room 580, University of Pittsburgh Medical Center, 3601 Fifth Avenue, Pittsburgh, Pennsylvania 15213, USA; korytkowski{at}dom.pitt.edu Problem: Insulin can have favourable ...
qualitysafety.bmj1d
A nationwide Hospital Survey on Patient Safety Culture in Belgian hospitals: setting priorities at the launch of a 5-year patient safety plan
Objective To measure patient safety culture in Belgian hospitals and to examine the homogeneous grouping of underlying safety culture dimensions. Methods The Hospital Survey on Patient Safety Culture ...
qualitysafety.bmj2d
International recommendations for national patient safety incident reporting systems: an expert Delphi consensus-building process
Correspondence to Ann-Marie Howell, Surgery and Cancer, Imperial College, 1029 QEQM St Mary's Hospital, Praed Street, London W2 1NY, UK; a.howell{at}imperial.ac.uk Background Patient safety incident ...