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.

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Displaying 1 - 15 of 15 Results

AI in medicine needs to be carefully deployed to counter bias – and not entrench it.

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Levi R, Gorenstein D. Health Shots. National Public Radio. June 6, 2023.

Systemic biases are present in data tools, training and culture across health care. This article discusses weaknesses in artificial intelligence algorithms that are poised to further entrench biases and inequities into health care systems. The authors highlight the role of regulators and industry in combating the presence of biases in decision making technologies.

AI may be on its way to your doctor’s office, but it’s not ready to see patients.

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Tahir D. KFF Health News. May 12, 2023.

Real-time use of artificial intelligence (AI) in health care settings continues to cause concern despite its potential to improve care. This article examines current efforts to develop AI applications for health care and the reasons for oversight to protect privacy, reduce bias, and prevent misinformation.

VA pauses $16B Oracle Cerner EHR deployments indefinitely to address error-ridden early rollout.

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Muoio D. Fierce Healthcare. April 21, 2023.

Notable problems have occurred during the testing of the new electronic health records (EHR) system being designed for use in Veterans Affairs hospitals. This news article discusses the temporary halt of the project as the Department reassesses issues that have arisen during test rollouts in several United States hospitals.

Why hospitals still make serious medical errors—and how they are trying to reduce them.

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Landro L. Wall Street Journal. March 12, 2023.

Patient harm from health care is persistent despite decades of effort to address problems that degrade care. This article discusses the potential that improved technology use has in reducing medication errors, falls, surgical errors, and high-risk hospital-acquired infections.

Hospital ‘black boxes’ put surgical practices under the microscope.

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Sadick B. Wall Street Journal. March 19, 2023.

Safety information systems that track action in real time can reveal a trove of data about how teams and procedures progress. This news article describes the use of a black-box system in the operating room. Its use by hospitals in the United States is described to illustrate the value of black box data to inform learning and improvement strategies.

Using A.I. to detect breast cancer that doctors miss.

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Satariano A, Metz C. New York Times. March 5, 2023.

Artificial intelligence (AI) is an innovation that represents great promise for diagnostic accuracy and timeliness improvement. This article discusses a successful AI breast cancer screening program in Hungary and its potential to illuminate efforts to spread AI-enhanced diagnosis as a tool for physician decision making.

Embedded bias: how medical records sow discrimination.

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Tahir D. Kaiser Health News. September 26, 2022.

Negative patient representations in medical records perpetuate stereotypes that can affect care over time. This story discusses how written notes using stigmatizing language reflect bias and physician disrespect that serve as clues to misdiagnosis. Black patients and those patients named as "difficult" were particularly vulnerable to damaging representation in notes.

When medical error becomes personal, activism becomes painful.

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Millenson M. Forbes. September 16, 2022.

Unnecessary medication infusions indicate weaknesses in medication service processes. While no harm was noted in the case discussed, the actions by the patient’s family to initiate an examination of the incident were rebuffed, patient disrespect was demonstrated, a near miss incident report was absent, and data omissions took place. The piece discusses how these detractors from safety were all present at the hospital involved.

Charlie Bourg was on the lookout for veterans harmed by a new VA computer system. He didn’t expect to be one of them.

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Donovan-Smith O. Spokesman-Review. September 11, 2022.

Electronic health record (EHR) system issues degrade the data sharing and communication needed to inform safe patient care. This newspaper feature discusses problems with the new Veterans Affairs EHR system from the patient and family perspective in the context of diagnostic and treatment delay.

The pain was unbearable. So why did doctors turn her away?

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Szalavitz M. Wired Magazine. August 11, 2021.

The opioid epidemic has contributed to uncertainties for pain management patients that result in harm. This article discusses how an endometriosis patient was unable to get prescriptions to manage her pain due to misinformation generated through screening tools designed to identify opioid misuse and inform prescribing decisions.

Machine learning is booming in medicine. It’s also facing a credibility crisis.

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Ross C. STAT. June 2, 2021.

Artificial intelligence and machine learning are often promoted as tools with impressive potential for generating rapid improvements in healthcare decision making. This news story highlights how underlying problems and testing failures limit the trustworthiness of conclusions drawn by the systems.

Black or 'other'? Doctors may be relying on race to make decisions about your health.

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Smith J, Spodak C. CNN. April 25, 2021.

Race-adjusted decision making tools perpetuate the potential for diagnostic error and care delay. This article examines race correction as a form of bias in health care and discusses efforts to reduce the use of race-adjusted algorithms.

When health care moves online, many patients are left behind.

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Renault M. Wired Online. 2020.

The emergence of telemedicine as a primary mode of health care delivery in response to the COVID-19 pandemic is seen as a tool to improve safety and access, yet gaps in access to the requisite technologies exist. This article examines how technological limitations present safety issues to patients, such as unreliable access to personal computers, cell phones and robust internet connections.

With Covid-19 delaying routine care, chronic disease startups brace for a slew of complications.

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Brodwin E. STAT. April 14, 2020.

Patients with cancer and other chronic disorder treatment needs have been negatively affected by the restructuring of services to reduce the spread of the coronavirus. This story discusses company strategies to prepare to virtually support patients with a range of conditions. The author shares communication and support tactics to keep patients safe until they can get their appointments.

Artificial intelligence makes bad medicine even worse.

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Aschwanden C. Wired Magazine. January 10, 2020.

The unintended consequences of artificial intelligence (AI) in healthcare continue to generate clinician concern. This magazine piece examines the potential diagnostic improvements to be realized from AI while cautioning about its premature use generating overdiagnosis and overtreatment.

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