Families can offer a unique perspective to improve patient care. This study describes ways families keep patients safe from suicide during crisis resolution home treatment in the UK. Families increased safety by hiding medications or distracting patients who were in crisis. Challenges to involving families are detailed, as well as ways organizations can overcome those challenges.

Clinical decision support (CDS) helps clinicians select appropriate medications, arrive at a correct diagnosis, and improve intraoperative decision making. Through interviews with health system executives, clinicians, and artificial intelligence (AI) experts, this study presents multiple perspectives on selection and adoption of AI-CDS in healthcare. Four emerging trends are presented: (1) AI must solve a priority problem; (2) the tool must be tested with the health system’s patient population; (3) it should generate a positive return on investment; and (4) it should be implemented efficiently and effectively.

The COVID-19 pandemic has led to patients delaying or forgoing necessary health care, which can contribute to diagnostic and treatment delays.  This retrospective cohort study used primary care data to investigate the indirect effect of the COVID-19 pandemic on primary care health care use and subsequent diagnoses among residents in a poor, urban area in the United Kingdom. Between March and May 2020, there was a 50% reduction in expected diagnoses for mental health conditions, as well as substantial decreases in diagnoses and associated medication prescriptions for circulatory system diseases and type 2 diabetes.  

This editorial proposes adapting a patient safety paradigm – Safety-I or Safety-II – to provide insights into suicidal behavioral, as it is a preventable outcome and health services play an important role in reducing its incidence. The new paradigm – Safety III – would incorporate on health services research combined with ethnography and strong patient/public involvement.

Prior research has examined what factors may influence learning from mistakes. Researchers describe their analysis of more than 600 cases discussed at educational radiology conferences over several years. They were able to identify numerous opportunities for improving learning from error, including using positive cases (e.g., near misses or difficult cases in which extra effort helped avert an error) and targeting teaching to address recurrent deficiencies.