When AI Becomes Evidence | Episode 72

Long-term care facilities now use predictive systems that flag fall risk, worsening pressure injuries, early deterioration, medication interactions, and gaps between staffing and resident acuity. When a resident is harmed, those timestamped alerts, override logs, and audit trails go into discovery and shape the expert testimony. The standard of care hasn't changed, but what can be seen in the record has. In this episode of Lexcura Clinical Insights, Michelle Carroll, Founder and Chief Clinical Strategist of Lexcura Summit, walks through her American Health Law Association article, When AI Becomes Evidence: Admissibility and Governance Risk in Long Term Care Litigation. She explains how AI reaches the courtroom through expert testimony under Rule 702, and why the real risk lies in the leap from alert to conclusion, not in the algorithm itself. She covers the analytical-gap warning from General Electric v. Joiner, why venue matters under Daubert or Frye, and what a good reconciliation entry should show. She also explains how the federal long-term care rules in 42 CFR Part 483, and corporate oversight principles under Caremark, raise the stakes for facility governance. Learn more at lexcurasummit.com.