The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.
Kruse CS, Mileski M, Syal R, et al. Technol Health Care. 2020;29:1-14.
Health information technology (HIT) can promote patient safety in many settings. This systematic review found that HIT, such as computerized provider order entry (CPOE) systems, can improve safe prescribing practices in long-term care settings, including improved documentation and clinical processes, and fewer medication errors.
Choudhury A, Asan O. JMIR Med Inform. 2020;8:e18599.
This systematic review explored how artificial intelligence (AI) based on machine learning algorithms and natural language processing is used to address and report patient safety outcomes. The review suggests that AI-enabled decision support systems can improve error detection, patient stratification, and drug management, but that additional evidence is needed to understand how well AI can predict safety outcomes.
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