There has been an increased focus on patient safety, including missed diagnosis, in primary care in recent years. This cohort study evaluated the incidence of emergency hospital admission within 3 days of a visit with a GP with missed sepsis, ectopic pregnancy, urinary tract infection or pulmonary embolism. Shorter duration of appointment and telephone appointment (compared with in person) were associated with increased incidence of self-referred emergency hospital admission.

Based on analysis of four years of data submitted to the Child Health Patient Safety Organization (CHILDPSO), researchers sought to identify types of serious safety events and contributing factors. Three main groups of serious safety events were identified: patient care management, procedural errors, and product or device errors. Contributing factors included lack of situational awareness, process failures, and failure to communicate effectively.

Using case studies, this commentary describes how availability bias, diagnostic momentum, and premature closure resulted in delayed diagnosis for three pediatric patients first diagnosed with COVID-19. The authors highlight cognitive and systems factors that influenced this diagnostic error.

Diagnostic error continues to be a source of preventable patient harm. The authors undertook a retrospective review of primary care consultations to identify incidence, origin and avoidable harm of missed diagnostic opportunities (MDO). Nearly three-quarters of MDO involved multiple process breakdowns (e.g., history taking, misinterpretation of diagnostic tests, or lack of follow up). Just over one third resulted in moderate to severe avoidable patient harm. Because the majority of MDO involve several contributing factors, interventions, including policy changes, should be multipronged.

Accurate and timely feedback about patient outcomes can inform and improve future clinical decision-making; however, many barriers exist that prevent effective feedback. This article suggests a sociotechnical approach using information technology (IT) to provide clinician feedback. Feedback sent using the electronic health record can be provided asynchronously, by any member of the care team, and in a structured format to ensure relevance and usefulness.

Artificial intelligence (AI) systems can support diagnostic decision-making. This study evaluates diagnostic “shortcuts” learned by AI systems in detecting COVID-19 in chest radiographs. Results reveal a need for better training data, improved choice in the prediction task, and external validation of the AI system prior to dissemination and implementations in different hospitals.  

Misdiagnosis of child abuse has far-reaching implications. This commentary discusses the ethical tensions faced by pediatric radiologists of both over- and under-diagnosing child abuse. The author suggests ways that physicians and professional societies can partner with legal advocates to create a more balanced pool of experts to alleviate perceptions of bias and acknowledge harms of misdiagnosed child abuse.

Diagnostic errors and delays continue to be a widespread patient safety concern in hospitalized patients. Researchers conducted focus groups with key clinician stakeholders to determine factors that contribute to diagnostic error and delay. Clinicians indicated that organizational, interactional, clinician, and patient factors all interact to cause errors and delays. These diverse factors must be considered when implementing interventions to reduce diagnostic errors and delays.

In addition to being used for patient-specific clinical purposes, data within the electronic health record (EHR) may be used for other purposes including epidemiological research. Researchers in the UK developed and tested a clinical decision support system (CDSS) to evaluate changes in the types and number of observations that primary care physicians entered into the EHR during simulated patient encounters. Physicians documented more clinical observations using the CDSS compared to the standard electronic health record. The increase in documented clinical observations has the potential to improve validity of research developed from EHR data.

Reducing harm related to diagnostic error remains a major focus within patient safety. Based on input from an international group of experts and stakeholders, the authors identified priority questions to advance diagnostic safety research. High-priority areas include strengthening teamwork factors (such as the role of nurses in diagnosis), addressing system factors, and strategies for engaging patients in the diagnostic process.