The PSNet Collection

The PSNet Collection: All Content

The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.

AMA Prior Authorization (PA) Physician Survey.

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Chicago, IL: American Medical Association; March 2023.

Insurance policies can have consequences that reduce the safety of medical care. This latest version of the study surveyed 1000 physicians in 2022 to find that prior authorization requirements contributed to patient harm or potentially preventable hospitalization 33 percent of the time.

‘You’re going to release him when he was hurting himself?’

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Dahlberg B. Kaiser Health News. September 29, 2020.

This story discusses failures related emergency psychiatric assessment, including premature discharge, implicit bias, patient management discontinuity and inappropriate physical restraint that contributed to the death of a patient at risk for suicide.

The Guide for Hospital and Health System Leaders for Diagnostic Quality and Safety.

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Chicago, IL; Society to Improve Diagnosis in Medicine: August 2020.

Patients and families provide unique insights for leaders working to improve diagnosis. This report highlights how organizations can best implement patient advisory council programs to spark learning, enhance feedback, and support a safety culture that enhances the impact of those efforts.

Considering the safety and quality of artificial intelligence in health care.

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Ross P, Spates K. Jt Comm J Qual Patient Saf. 2020;46:596-599.

This article discusses healthcare safety and quality issues in artificial intelligence (AI) development and use (such as biases in AI tools) and approaches to increase transparency and understanding of AI tools among health care providers.

Patient and Family Advisory Council Leader's Guide for Diagnostic Quality and Safety.

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Chicago, IL; Society to Improve Diagnosis in Medicine: August 2020.

Patient and Family Advisory Councils (PFACs) are an established strategy that provides structure to a health care organization’s patient and family engagement efforts. This report shares insights and tools to establish a PFAC and engage them in diagnostic error reduction.

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.

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Röösli E, Rice B, Hernandez-Boussard T. J Am Med Inform Assoc. 2021;28:190-192.

This article discusses the disproportionate impact of COVID-19 on racial and ethnic minority groups and how the use of artificial intelligence (AI) may exacerbate these disparities due to underlying biases in AI tools.

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