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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 - 20 of 148 Results

Grubenhoff JA, Cifra CL, Marshall T, et al. Rockville, MD: Agency for Healthcare Research and Quality; September 2023. AHRQ Publication No. 23-0040-5-EF.

Unique challenges accompany efforts to study and reduce diagnostic error in children. This issue brief discusses addressing obstacles associated with testing and care access limitations that affect diagnosis across a variety of pediatric care environments. It also provides recommendations for building capacity to advance pediatric diagnostic safety. This issue brief is part of a series on diagnostic safety.

James C, Singh K, Valley TS, et al. Rockville, MD; Agency for Healthcare Research and Quality; July 2023. AHRQ Publication No. 23-0040-4-EF.

As artificial intelligence (AI) and machine learning (ML) become established in health care, it is critical for clinicians and patients to effectively collaborate to use AI safely. This Issue Brief adds to a series of diagnostic-focused reports and presents a framework to guide patients and clinicians on working as team members when using AI and ML to make diagnostic decisions.

Rosen M, Dy SM, Stewart CM, et al. Making Healthcare Safer IV Series.  Rockville, MD: Agency for Healthcare Research and Quality; July 2023. AHRQ Publication no. 23-EHC019-1.

Reducing preventable harm in healthcare settings remains a national priority. This report summarizes the results of the prioritization process used to identify patient safety practices meriting inclusion in the fourth installment of the Making Healthcare Safer (MHS) series (previous installments were published in 2001, 2013, and 2020). The fifteen-member Technical Expert Panel identified 27 priority patient safety practices for examination in the forthcoming report, including several practices that have not been covered in previous MHS reports (e.g., family/caregiver engagement, preventing non-ventilator associated pneumonia, supply chain disruption, high reliability, post-event communication programs).

Maxwell A. Washington, DC: US Department of Health and Human Services, Office of the Inspector General; July 2023. Report no. OEI-06-21-00030.

Medical record review is a primary tactic to identify health care actions that contribute to patient harm. This report discusses the review process used in the 2018 report Adverse Events in Hospitals: A Quarter of Medicare Patients Experienced Harm to illustrate a successful review process for use by clinicians and researchers. It is a companion toolkit to the Clinical Guidance for Identifying Harm publication.

Farnborough, UK: Healthcare Safety Investigation Branch; April 2023.

Gaps in patient information processes can result in missed care opportunities that contribute to harm. This report examines language discordance in National Health Service written scheduling communications and its contribution to patients being lost to follow up. The primary improvement recommendation is to enhance the ability of providers to recognize primary languages of patients and provide written instructions accordingly.
May 4, 2023
The implementation of effective patient safety initiatives is challenging due to the complexity of the health care environment. This curated library shares resources summarizing overarching ideas and strategies that can aid in successful program execution, establishment, and sustainability.

Horsham, PA; Institute for Safe Medication Practices: April 2023.

Community pharmacies are common providers of medication delivery that harbor process weaknesses affecting safety. This guidance shares evidence-based steps to address problems such as wrong patient errors and lack of consistent barcode system use in the community setting.

Plymouth Meeting, PA: ECRI; March 2023.

The global COVID-19 pandemic continues to exacerbate weaknesses in care that can contribute to harm. ECRI presents the top ten patient concerns for 2023, including pediatric mental health care, workplace violence, care coordination, and patient medication list mistakes.  
Curated Libraries
March 8, 2023
Value as an element of patient safety is emerging as an approach to prioritize and evaluate improvement actions. This library highlights resources that explore the business case for cost effective, efficient and impactful efforts to reduce medical errors.

Farnborough, UK: Healthcare Safety Investigation Branch; February 2023.

Patient misidentification in emergent situations can reduce the appropriateness of care delivery and safety. This report analyzes an incident where the healthcare team misidentified a patient (who had a do-not-resuscitate order) and withheld cardiopulmonary resuscitation (CPR) from the wrong patient. The lack of access to health information technology at the bedside, and reference to the patient’s wristband, were factors contributing to the patient’s death.

Feske-Kirby K, Whittington J, McGaffigan P. Boston, MA: Institute for Healthcare Improvement; 2022.

The potential of machine learning to improve care and safety is emerging as its application increases across health care. This report examines how machine learning can improve activities such as risk identification and prediction. It also discusses barriers to its use such as workload, expertise gaps, and system integration.

Washington DC; Office of Senator Mark Warner: November 25, 2022.

There is lack of consensus concerning the need for increased system and policy attention on cybersecurity challenges as a threat to patient safety. The report suggests modifications within the federal government infrastructure to increase attention to cybersecurity as a safety issue, public/private partnership opportunities, and policy development to reduce the potential for cyberattacks that impact care delivery.

Washington DC: United States Government Accountability Office and National Academy of Medicine;  September 2022. Report no. GAO-22-104629.

Machine learning is a subset of artificial intelligence that has potential to improve diagnosis. This report examines the value of existing machine learning diagnostic technologies and discusses concerns and policy impacts of their use over time. The authors suggest evaluation, data access and collaboration as strategies to enhance policy supporting technology development and safety.

Adler-Milstein J, Aggarwal N, Ahmed M, et al. NAM Perspectives. Washington DC: National Academy of Medicine; 2022.

Artificial intelligence can support care through effective integration of computerized diagnostic decision support (DDS) systems. This report examines four foci for successful DDS use: why clinicians use it, what tools support it, how it is used, and the way it is accessed. Policies are introduced as a tactic to support unbiased and safe implementation of decision support systems.
Curated Libraries
October 10, 2022
Selected PSNet materials for a general safety audience focusing on improvements in the diagnostic process and the strategies that support them to prevent diagnostic errors from harming patients.

de Bienassis K, Esmail L, Lopert R, Klazinga N for the Organisation for Economic Co-operation and Development. Paris, France: OECD Publishing; 2022. OECD Health Working Papers, No. 147.

The global effect of harm associated with preventable drug errors is substantial. This report discusses the human and financial impact of medication errors in a variety of countries, prescribing process improvement, established efforts to enhance medicine use safety, and avenues for national medication safety achievement.

US Senate Committee on Veterans Affairs. 117th Cong (2021-2022). (July 20, 2022).

Large-scale electronic health record (EHR) implementation projects encompass a myriad of problems to navigate to arrive at success. This Congressional panel explores challenges experienced during EHR implementation in the VA Health system. Panelists from the Veterans Administration, the investigator and the technology vendor involved in the program shared insights and next steps to direct improvement.

Washington, DC: VA Office of the Inspector General; July 14 2022. Report No. 22-01137-204.

Problems with clinician order delivery can result in harmful care delays. This report discusses how an electronic health record (EHR) system sent thousands of requests for medical care in a large health system to no location rather than to the intended site for care. These misattributions contributed to 142 patient safety events. The analysis highlighted factors contributing to the EHR misdistribution of orders and shared concerns that the organization’s approach to reduce the risk for misrouted orders lacks effectiveness.

Washington, DC: VA Office of Inspector General; March 17, 2022.

Electronic health record (EHR) implementation failures cause major disruptions to care delivery that can result in inefficiencies, misinformation, and unsafe care. This three-part investigation examines the impact of the new United States Veterans Affairs EHR system problems on medication management, care coordination, and problem reporting and resolution at one facility.

Perry AF, Federico F, Huebner J. Boston, MA: Institute for Healthcare Improvement; 2021. 

The emergence of telemedicine during the COVID-19 pandemic has situated it to become an accepted model for health service provision despite safety concerns. This white paper discusses a 6-item framework to enhance the safety, equity, and person-centeredness of telemedicine and recommendations for embedding safer methods into telemedicine practice.