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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 79 Results
Patient Safety Innovation July 31, 2023

Concern over patient safety issues associated with inadequate tracking of test results has grown over the last decade, as it can lead to delays in the recognition of abnormal test results and the absence of a tracking system to ensure short-term patient follow-up.1,2 Missed abnormal tests and the lack of necessary clinical follow-up can lead to a late diagnosis.

Choi JJ, Durning SJ. Diagnosis (Berl). 2023;10:89-95.
Context (e.g., patient characteristics, setting) can influence clinical reasoning and increase the risk for diagnostic errors. This article explores the ways in which individual-, team-, and system-level contextual factors impact reasoning, clinician performance and risk of error. The authors propose a multilevel framework to better understand how contextual factors impact clinical reasoning.
Krevat S, Samuel S, Boxley C, et al. JAMA Netw Open. 2023;6:e238399.
The majority of healthcare providers use electronic health record (EHR) systems but these systems are not infallible. This analysis used closed malpractice claims from the CRICO malpractice insurance database to identify whether the EHR contributes to diagnostic error, the types of errors, and where in the diagnostic process errors occur. EHR contributed to diagnostic error in 61% of claims, the majority in outpatient care, and 92% at the testing stage.
Perspective on Safety April 26, 2023

Throughout 2022, AHRQ PSNet has shared research that elucidates the complex nature of misdiagnosis and diagnostic safety. This Year in Review explores recent work in diagnostic safety and ways that greater safety may be promoted using tools developed to improve diagnostic practices.

Throughout 2022, AHRQ PSNet has shared research that elucidates the complex nature of misdiagnosis and diagnostic safety. This Year in Review explores recent work in diagnostic safety and ways that greater safety may be promoted using tools developed to improve diagnostic practices.

Gray KD, Subramaniam HL, Huang ES. JAMA Pediatr. 2023;177:459-460.
Previous research has identified racial and ethnic discrepancies in pulse oximetry measurement which can lead to delays in diagnosis or treatment. This editorial discusses racial and ethnic biases in clinical algorithms and devices and two emerging approaches – photoacoustic imaging and polarized light oximetry – that have potential to address the racial and ethnic biases in pulse oximetry.
Perspective on Safety March 29, 2023

In the past several decades, technological advances have opened new possibilities for improving patient safety. Using technology to digitize healthcare processes has the potential to increase standardization and efficiency of clinical workflows and to reduce errors and cost across all healthcare settings.1 However, if technological approaches are designed or implemented poorly, the burden on clinicians can increase. For example, overburdened clinicians can experience alert fatigue and fail to respond to notifications. This can lead to more medical errors.

In the past several decades, technological advances have opened new possibilities for improving patient safety. Using technology to digitize healthcare processes has the potential to increase standardization and efficiency of clinical workflows and to reduce errors and cost across all healthcare settings.1 However, if technological approaches are designed or implemented poorly, the burden on clinicians can increase. For example, overburdened clinicians can experience alert fatigue and fail to respond to notifications. This can lead to more medical errors.

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.
Curated Libraries
January 19, 2023
The Primary-Care Research in Diagnosis Errors (PRIDE) Learning Network was a Boston-based national effort to improve diagnostic safety. Hosted by the State of Massachusetts’ Betsy Lehman Center, it was led by the Harvard Brigham and Women’s Center for Patient Safety Research and Practice with funding from the Gordon and Betty Moore Foundation. ...

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.
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.

NIHCM Foundation. Washington DC: National Institute for Health Care Management. August 2, 2022.

Preventable maternal morbidity is an ongoing challenge in the United States. This infographic shares general data and statistics that demonstrate the presence of racial disparities in maternal care that are linked to structural racism. The resource highlights several avenues for improvement such as diversification of the perinatal staffing and increased access to telehealth.
Harsini S, Tofighi S, Eibschutz L, et al. Diagnostics (Basel). 2022;12:1761.
Incomplete or delayed communication of imaging results can result in harm to the patient and have legal ramifications for the providers involved. This commentary presents a closed-loop communication model for the ordering clinician and radiologist. The model suggests the ordering clinician categorize the radiology report as “concordant” or “discordant”, and if discordant, provide an explanation.
Farrell C‐JL, Giannoutsos J. Int J Lab Hematol. 2022;44:497-503.
Wrong blood in tube (WBIT) errors can result in serious diagnostic and treatment errors, but may go unrecognized by clinical staff. In this study, machine learning was used to identify potential WBIT errors which were then compared to manual review by laboratory staff. The machine learning models showed higher accuracy, sensitivity, and specificity compared to manual review. 
Salwei ME, Hoonakker PLT, Carayon P, et al. Hum Factors. 2022;Epub Apr 4.
Clinical decision support (CDS) systems are designed to improve diagnosis. Researchers surveyed emergency department physicians about their evaluation of human factors-based CDS systems to improve diagnosis of pulmonary embolism. Although perceived usability was high, use of the CDS tool in the real clinical environment was low; the authors identified several barriers to use, including lack of workflow integration.
Zomerlei T, Carraher A, Chao A, et al. J Patient Saf Risk Manage. 2021;26:221-224.
Failure to communicate abnormal test results to patients can lead to significant health complications and medical malpractice claims. This study aimed to increase patient engagement in asking their provider about previously obtained diagnostic test results. Reminders to follow up with their provider about test results were sent to the patient via the after-visit summary and patient portal. Patients receiving reminders were up to 20 times more likely to ask their providers about their test results, compared to patients who did not receive reminders.
Berntsson K, Eliasson M, Beckman L. BMC Nurs. 2022;21:24.
Safe and accurate telephone triage is of critical importance, particularly during the COVID-19 pandemic. This Swedish study evaluated district nurses’ experiences and perceptions of patient safety at a national nurse advice triage call center. Interviews with nurses resulted in an overall theme of “being able to make the right decision” based on the categories of “communication” and “assessment.”
Schiff GD, Volodarskaya M, Ruan E, et al. JAMA Netw Open. 2022;5:e2144531.
Improving diagnosis is a patient safety priority. Using data from patient safety incident reports, malpractice claims, morbidity and mortality reports, and focus group responses, this study sought to identify “diagnostic pitfalls,” defined as clinical situations vulnerable to errors which may lead to diagnostic errors. The authors identified 21 generic diagnostic pitfall categories involving six different aspects of the clinical interaction – diagnosis and assessment, history and physical, testing, communication, follow-up, and other pitfalls (e.g., problems with inappropriate referral, urgency of the clinical situation not appreciated). The authors suggest that these findings can inform education and quality improvement efforts to anticipate and prevent future errors.
Rajan SS, Baldwin J, Giardina TD, et al. J Patient Saf. 2022;18:e262-e266.
Radiofrequency identification (RFID) technology has been most commonly used in perioperative settings to improve patient safety. This study explored whether RFID technology can improve process measures in laboratory settings, such as order tracking, specimen processing, and test result communication. Findings indicate that RFID-tracked orders were more likely to have completed testing process milestones and were completed more quickly.
Curated Libraries
September 13, 2021
Ensuring maternal safety is a patient safety priority. This library reflects a curated selection of PSNet content focused on improving maternal safety. Included resources explore strategies with the potential to improve maternal care delivery and outcomes, such as high reliability, collaborative initiatives, teamwork, and trigger tools.