Previous research has found that three diseases (vascular events, infections, and cancers) account for approximately 50% of all serious misdiagnosis-related harm. Based on a sample of 21.5 million US hospital discharges, the authors estimated that 795,000 adults in the US experience serious misdiagnosis-related harm (permanent morbidity or mortality) attributable to these three disease categories each year.

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.

Prior research found that cancer, infections, and vascular events (the “big three”) account for nearly half of all serious misdiagnosis-related harm identified in malpractice claims. This retrospective analysis of malpractice claims data from 2008 to 2017 found that oncology-related errors represented the largest source of radiology malpractice cases with diagnostic allegations. Imaging misinterpretation was the primary contributing factor.

Prior research based on claims data found that fifteen conditions related to vascular events, infections, and cancers (the ‘Big Three’) account for approximately 50% of all serious misdiagnosis-related harm. Based on a review of 28 studies representing over 91,000 patients, these authors estimated that the median diagnostic error rates for these conditions was 13.6%, ranging from 2.2% (myocardial infarction) to 62.1% (spinal abscess). The median serious misdiagnosis-related harm rate was estimated to be 5.5%, ranging from 1.2% (myocardial infarction) to 35.6% (spinal abscess).

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Diagnostic errors are widely acknowledged as a common patient safety problem, but difficulty in measuring these errors has made it challenging to quantify their impact. This study utilized a large national database of closed malpractice claims to estimate the frequency and severity of diagnostic errors. Researchers also sought to determine the types of diagnoses most vulnerable to misdiagnosis. Missed or delayed diagnoses accounted for 21% of 55,377 claims analyzed, and the majority of these cases resulted in permanent disability or death. These findings corroborate earlier research on closed malpractice claims in primary care and emergency department settings. Investigators found that three groups of diagnoses accounted for the majority of closed claims and high-severity events: vascular events (such as myocardial infarction and stroke), infections (such as sepsis), and cancer. This study represents an important step forward in identifying areas for improvement in diagnosis, but caution should be exercised in extrapolating these results, since malpractice claims only account for a small proportion of all adverse events experienced by patients. A previous PSNet perspective discussed momentum in the field of diagnostic error over the past several years.

This review highlights key elements that enable research efforts to assess the current state of safety in radiology. The authors discuss safety culture, education, data infrastructure, incident reporting, and performance measures as specific areas of interest that require deeper understanding to improve the quality and safety of radiologic services.

Although heath information technology (IT) has improved patient safety, studies have shown that implementing electronic health records can introduce new errors. This study examined closed malpractice claims related to health IT. Most cases occurred in ambulatory care settings, suggesting that current health IT may not be optimally designed to support safety in those settings. Cases involving medication errors, diagnostic errors, or treatment complications were almost equally prevalent, indicating that health IT vulnerabilities span multiple tasks and functions. Software design issues and implementation problems also played a role in these incidents. These findings emphasize the need to reexamine health information technologies and how they are implemented in health care systems to enhance safety. A recent PSNet perspective examined challenges in health IT implementation, and another perspective discussed the need for innovations in health IT usability.

Analysis of malpractice claims can identify trends and determine opportunities for improvement. This commentary discusses an incident involving delayed diagnosis of Ebola in the United States and other diagnostic failures to illustrate how local and comparative data can be utilized to inform the design of risk reduction strategies.