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Journal Article > Study
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer.
Ehteshami Bejnordi B, Veta M, Johannes van Diest P, et al; CAMELYON16 Consortium. JAMA. 2017;318:2199-2210.
Diagnostic error is a growing area of focus within patient safety. Artificial intelligence has the potential to improve the diagnostic process, both in terms of accuracy and efficiency. In this study, investigators compared the use of automated deep learning algorithms for detecting metastatic disease in stained tissue sections of lymph nodes of women with breast cancer to pathologists' diagnoses. The algorithms were developed by researchers as part of a competition and their performance was assessed on a test set of 129 slides, 49 with metastatic disease and 80 without. A panel of 11 pathologists evaluated the same slides with a 2-hour time limit and one pathologist evaluated the slides without any time constraints. The authors conclude that some of the algorithms demonstrated better diagnostic performance than the pathologists did, but they suggest that further testing in a clinical setting is warranted. An accompanying editorial discusses the potential of artificial intelligence in health care.
Special or Theme Issue
Chui MA, Pohjanoksa-Mäntylä M, Snyder ME, eds. Res Social Adm Pharm. 2019;15:811-906.
Medication safety is a worldwide challenge. This special issue discusses factors affecting the reliability of the ordering, dispensing, and administration of medications across a range of environments. Articles cover topics such as the need to deepen understanding of safety in community pharmacies, the use of smart pumps for high-alert medications, and the international effort to reduce medication-related harm.
Journal Article > Study
Intravenous infusion administration: a comparative study of practices and errors between the United States and England and their implications for patient safety.
Blandford A, Dykes PC, Franklin BD, et al. Drug Saf. 2019 Jun 13; [Epub ahead of print].
Intravenous medication infusions are an important target for safety interventions. Many infused medications, such as opioids and chemotherapy, require vigilant adherence to protocol to prevent harm. Technical solutions to infusion errors such as computerized provider order entry, barcode medication administration, and smart infusion pumps have been implemented with some success. Investigators compared infusion errors in the United States, where all three technical interventions are common, to the United Kingdom, where those technical interventions are rare. Minor errors were common in each country, but only 0.8% of infusions placed patients at serious risk of harm. Although the details of errors in both countries differed in detail, rates of error and harm were similar. A WebM&M commentary described a chemotherapy infusion error that caused renal failure.