1 Department of Community and Family Medicine, Dartmouth Medical School, Hanover, NH, USA 2 Departments of Pediatrics and of Internal Medicine, Dartmouth Medical School, Hanover, NH, USA 3 Veterans ...

1 Department of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA 2 Center for Quality and Productivity Improvement, College of ...

Background Data regarding vascular access device use and outcomes are limited. In part, this gap reflects the absence of guidance on what variables should be collected to assess patient outcomes. We ...

Correspondence to Dr David W Bates, Division of General Internal Medicine, The Center for Patient Safety Research and Practice, Brigham and Women's Hospital, 1620 Tremont St, Boston, MA 2120, USA; ...

1 Department of Medicine, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA 2 The Dartmouth Institute for Health Policy and Clinical Practice, The Geisel School of Medicine at ...

Correspondence to Dr Ann M Borzecki, Center for Healthcare Organization and Implementation Research, Bedford MA 01730, USA; amb{at}bu.edu Despite consensus that preventing patient safety events is ...

1 Centre for Quality Improvement and Patient Safety, University of Toronto, Toronto, Ontario, Canada Too often, however, improvement teams go through the motions of PDSA cycles without really ...

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3 Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Ontario, Canada 4 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada 5 Department ...

1 Section of General Internal Medicine, VA Boston Healthcare System, Boston, Massachusetts, USA 2 Section of General Internal Medicine, Boston Medical Center, Boston, Massachusetts, USA 3 Boston ...

Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, UNSW Medicine, University of New South Wales, Sydney, New South Wales, Australia Correspondence to Professor ...

Machine learning (ML) solutions are increasingly entering healthcare. They are complex, sociotechnical systems that include data inputs, ML models, technical infrastructure and human interactions.