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Error Reduction in Health Care: A Systems Approach to Improving Patient Safety

Spath P (ed)
San Francisco, California: Jossey-Bass Publishers; 2000

This book explores the complex causes of medical mistakes and offers sound advice for leaders who want to reduce the frequency of errors in health care services and mitigate the impact of those errors that do occur. The book is packed full of examples of thorough incident investigations and process improvement recommendations from leaders in the field of health care quality and risk management.

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Organizational Trustworthiness in Health Care

The Institute for Healthcare Improvement partnered with the American Board of Internal Medicine Foundation to identify key organizational-level drivers and change ideas that repair, build, and strengthen trust between health care organizations and clinicians, and between health care organizations and the communities they serve. This report describes a theory of how to repair, build, and strengthen trust, presented as a three-step approach with specific change ideas and associated measures for improvement.
Using Machine Learning to Improve Patient Safety in the Home or Remote Setting for Adults

The primary aim of the IHI innovation project described in this report was to assess the use of predictive analytics, specifically machine learning, to improve patient safety through emerging and existing approaches to predict risk, such as technologies and decision support tools. Specific attention was given to how predictive analytics and machine learning can assist in monitoring patient deterioration in the home setting for adults ages 18 and older.
Avoiding "Drift" into Harm

This article presents specific steps leaders can take to reinforce effective patient safety practices and address workarounds that may unintentionally result in harm.

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