2026 Executive Playbook: AI Strategies for Post-Acute Leaders On-Demand Webinar Series-AI in Skilled Nursing: Practical Use, Risk, and Operational Impact

AI in Skilled Nursing: Practical Use, Risk, and Operational Impact

Video Transcription

Video Summary

The webinar, hosted by PACIN and Clinware, explored responsible AI adoption in skilled nursing. Panelists Corey Evans, Jason Daube, and Jeff Daube discussed practical, low-risk uses of AI such as improving emails, doing research on CMS or MDS updates, and creating job aids or workflow guides. They emphasized that AI can reduce administrative burden, improve productivity, and support areas like reimbursement accuracy, clinical surveillance, and rehospitalization prevention.<br /><br />A major focus was risk management. The speakers stressed never entering PHI into public AI tools, using HIPAA-compliant and SOC 2-certified vendors, requiring BAAs, and ensuring secure API integrations rather than screen scraping or RPA. They also warned about hallucinations and explained that AI should be grounded in trusted sources and customized to facility workflows.<br /><br />The panel repeatedly reinforced the importance of “human in the loop” oversight. AI should support, not replace, clinicians. They compared AI to an intern: fast and helpful, but not experienced enough to make final decisions alone.<br /><br />The session closed with three golden rules: efficiency, security, and accountability.

Keywords

responsible AI adoption

skilled nursing

HIPAA compliance

human in the loop

administrative burden

CMS updates

workflow guides