Checklists are increasingly used to support clinical and diagnostic reasoning processes. This study examined the impact of a checklist on electrocardiogram interpretation in 42 first-year general practice residents. Findings indicate that the checklist reduced the time to diagnosis but did not affect accuracy or confidence.

Cognitive bias, fatigue, and shift work can increase diagnostic errors in radiology. This commentary recommends strategies to reduce these errors in diagnostic chest radiography, including checklists and improved technology (e.g., software, artificial intelligence). In addition, the authors offer practical step-by-step recommendations and a sample checklist to assist radiologists in avoiding diagnostic errors.

Radiologic diagnostic errors can result in delayed or unnecessary treatment. This paper describes five types of cognitive biases, with accompanying case study and images, that result in misdiagnosis. Both individual education and system-level solutions are described.

Sexual and gender minority (SGM) patients may experience poor quality of healthcare due to stigma and discrimination. This qualitative study explored diagnostic challenges and the impact of diagnostic errors among 20 participants identifying as sexual minorities and/or gender minorities. Participants attribute diagnostic error to provider-level and personal challenges and how diagnostic error worsened health outcomes and led to disengagement from healthcare. The authors of this article also summarize patient-proposed solutions to diagnostic error through the use of inclusive language, increasing education and training on SGM topics, and inclusion of more SGM individuals in healthcare.

Research into the nature, type, and contributing factors of adverse events (AE) in primary care is required to develop successful safety interventions. This study used medical record review to determine the prevalence, preventability, severity, type, and contributory factors of AE in primary care in Madrid, Spain. The prevalence of AEs was 5%, with the majority determined to be preventable. Most resulted in mild harm, and most contributory factors were patient-related (e.g., self-administered medications).

Patients presenting to the emergency department (ED) with a chief complaint of dizziness require prompt assessment to rule in or out a serious diagnosis such as stroke. A retrospective chart review was performed on more than 1,500 adult patients presenting to the ED with dizziness to estimate vestibular syndrome classifications (i.e., acute, episodic, chronic) and rates of misdiagnosis. Approximately 20% of patients were diagnosed with acute vestibular syndrome (e.g., stroke) and 10% had an unclear vestibular syndrome at time of ED discharge. Of those with follow-up exams, nearly one-third received a different diagnosis, but only 3.2% received a different vestibular classification.

Missed diagnostic opportunities often involve multiple process breakdowns and can lead to serious avoidable patient harm. Based on a web-based survey of 1,594 emergency medicine physicians, missed diagnostic opportunities most frequently occur in children who present to the emergency department with undifferentiated symptoms (e.g., abdominal pain, fever, vomiting) and often involve issues related to the patient/parent-provider interaction, such as misinterpreting patient history or inadequate physical exam.

AHRQ's 2022 report Diagnostic Errors in the Emergency Department: A Systematic Review, which reported an estimated 7.4 million patients receive a misdiagnosis in the emergency department every year, garnered public, practitioner, and researcher attention. In this peer-reviewed commentary, the authors critique several components of the report. They also support AHRQ's recommended next steps, and further call for additional public and private funding opportunities to continue improving diagnostic accuracy in the emergency department.

Changes in healthcare delivery due to the COVID-19 pandemic resulted in delays in care that can lead to patient harm. In this study using patient safety event data submitted to the VHA National Center of Patient Safety, researchers identified healthcare delays involving laboratory results, treatment and interventional procedures, and diagnosis.   

Symptom–Disease Pair Analysis of Diagnostic Error (SPADE) is a framework to measure diagnostic errors using existing databases, such as electronic health records or administrative claims. The original developers of the SPADE framework provide additional guidance on types of comparator groups, how to select the appropriate group, and what inferences can be drawn from the analysis.

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.

Vulnerable populations, such as those with limited English proficiency, minoritized race or ethnicity, migrant populations, or patients qualifying for public insurance, may be at higher risk for adverse health events. In this review, researchers sought to identify frequency and causes of diagnostic error of vulnerable populations presenting to the emergency department with cardiovascular or cerebrovascular/neurological symptoms. Black patients presenting with cardiovascular symptoms had significantly higher odds of diagnostic error. Other demographic factors did not show similar associations, nor did studies of patients with cerebrovascular/neurological symptoms.

Cognitive biases can threaten patient safety in a variety of ways. This narrative review summarizes the common cognitive biases in surgical care and how they threaten patient safety, including delays in diagnosis and treatment, unnecessary surgeries, and intraoperative errors and complications. The authors also discuss cognitive debiasing strategies to mitigate the impact of cognitive biases.

Large malpractice claims databases are increasingly used as a proxy to assess the frequency and severity of diagnostic errors. More than 5,300 closed claims with at least one diagnostic error were analyzed. No singular factor was identified; instead multiple contributing factors were implicated along the diagnostic pathway.