The last 5 years have seen a rapid growth in research applying artificial intelligence or machine learning to improve the quality and safety of healthcare. This coincides with the release of web ...

1 Division of General Internal Medicine, Brigham and Women's Hospital, Partners HealthCare System, and Harvard Medical School, Boston, MA, USA Correspondence to: Dr R Kaushal, Division of General ...

‘The Problem with…’ series covers controversial topics related to efforts to improve healthcare quality, including widely recommended, but deceptively difficult strategies for improvement and ...

Mistake proofing uses changes in the physical design of processes to reduce human error. It can be used to change designs in ways that prevent errors from occurring ...

1 Centre for Public Policy & Management, Department of Management, University of St Andrews, Fife, UK 2 Department of Epidemiology and Public Health, School of Health Sciences, Medical School, ...

Department of Anesthesiology and the Duke University Human Simulation and Patient Safety Center, Duke University Medical Center, Durham, North Carolina, USA Correspondence to: Melanie C Wright PhD ...

1 University of Technology Sydney, Centre for Health Communication, Sydney, New South Wales, Australia 2 HSPIB, NSW Ministry of Health, North Sydney, New South Wales, Australia 3 Emergency Department, ...

Objective Indicators based on hospital administrative data have potential for misclassification error, especially if they rely on clinical detail that may not be well recorded in the data. We applied ...

Background The measurement of safety culture in healthcare is generally regarded as a first step towards improvement. Based on a self-assessment of safety culture, the Frankfurt Patient Safety Matrix ...

There is a need to clarify where and how professional responsibility fits into the “no blame” culture How the media reports patient harm associated with adverse events continues to cause public ...