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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.  
Ingrassia PL, Capogna G, Diaz-Navarro C, et al. Adv Simul (Lond). 2020;5:13.
The authors of this article outline ten recommendations for safely reopening simulation facilities for clinical training in the post-lockdown phase of the COVID-19 crisis. The recommendations are based on national guidance and regulations, as well as international public health recommendations. Future reopening activities should focus on safety as well as flexibility principles, taking different contexts and facility characteristics into account.
Vaismoradi M, Vizcaya-Moreno F, Jordan S, et al. Sustainability. 2020;12.
This systematic review identified five articles exploring factors influencing error disclosure and reporting practices by nurses in residential long-term care settings. Nurses were not always willing to disclose errors due to lack of confidence, knowledge and understanding of error disclosure guidance, as well as fear of repercussions, litigation, and loss of trust. Nurse leaders were identified as playing an important role in how incident reports are processed and used for improving safety, and should encourage and support error disclosure.

Rockville, MD: Agency for Healthcare Research and Quality; May 14, 2020.

The unprecedented nature of the COVID-19 pandemic requires unique evaluation strategies to examine system responses to the pandemic and its effects on quality and patient safety. AHRQ will award $5 million in fiscal year 2020 to support novel, high-impact studies that evaluate the responsiveness of health care delivery systems, health care professionals, and the overall U.S. health care system in response to the COVID-19 pandemic. AHRQ expects to fund critical research focused on topics such as the effects on quality, safety, and value of the health system response to COVID-19; the role of primary care practices and professionals during the COVID-19 epidemic; understanding how the response to COVID-19 affected socially vulnerable populations and people with multiple chronic conditions; and the integration of digital health in the response to COVID-19, including innovations and challenges encountered in the expansion of telehealth. The process for submitting applications is now closed.