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World Health Organization.
This publication shares news related to the World Health Organization's Global Patient Safety Challenge.
Information Exchange System Alert. Geneva, Switzerland: World Health Organization; July 18, 2007.
This international announcement provides guidance on the safe administration of the chemotherapeutic agent vincristine.
Journal Article > Study
Boadu M, Rehani MM. Radiother Oncol. 2009;93:609-617.
This study used root cause analysis methodology to identify system factors leading to excess radiation exposure in patients undergoing radiotherapy.
Web Resource > Multi-use Website
Geneva, Switzerland: WHO Patient Safety, World Health Organization.
This Web site establishes a forum for hospitals in Europe and Africa to support partnership development and share learnings to drive patient safety improvements.
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.