Missed opportunities for diagnosis are a critical subset of diagnostic errors that can lead to adverse patient outcomes. These errors frequently arise from failures in the diagnostic process, ...

Artificial intelligence (AI) is poised to transform the infrastructure of health care. AI can now interpret clinical conversations and automate back-office operations, and will soon be able to deliver ...

Patients with end-stage kidney disease (ESKD) have a high rate of hospitalizations related to fluid overload and infections. Artificial intelligence (AI)–driven models may improve patient care by ...

We gratefully acknowledge members of the Kaiser Permanente (KP) Predictive Analytics Core (Cristina Perkins, Michelle Donnelly, and Marc Flagg), the Connect-2-Care virtual intake clinicians and ...

Language discordance in surgical care is a structural driver of inequity that affects patient safety, trust, and outcomes. Emerging interpreter technologies, including artificial intelligence (AI) and ...

NEJM Catalyst Insights Council members are excited about artificial intelligence in health care delivery for a range of tasks, and they say it already aids patients and clinicians. But the greatest ...

Despite widespread adoption of electronic health records (EHRs), health systems remain heavily dependent on faxed documents for critical patient information. At New York University Langone Health, ...

This special theme issue of NEJM Catalyst Innovations in Care Delivery, guest edited by Sara Murray, MD, MAS, includes articles, case studies, and research reports on the impacts of AI on clinical ...

For patients with complex health needs, the periods between clinical encounters are times of significant vulnerability, during which unobserved risks can escalate into acute events. The Waymark ...

These are the general ranges for most people. Your health needs might not match these exact numbers. It is common for some people to have low levels. If your levels are low, we suggest you take ...