Bill Siwicki

CMIO Dr. Brad Hoyt explains how high voluntary adoption, better documentation and clinician trust turned ambient AI into a foundation for broader artificial intelligence strategy.

The Kansas City health center cut recruiting and payroll processing time while using workforce technology and employee feedback to support rapid growth in patient demand.

Hospitals must decide which AI-generated notes, transcripts, prompts and logs belong in the permanent record – and which create more legal risk than value.

As AI-generated data proliferates, healthcare orgs will need governance processes that can reconstruct how artificial intelligence shaped care delivery. They'll need to be able to track model changes and withstand audits, litigation and legal holds.

Ahead of the HIMSS AI in Healthcare Forum, Dr. Deepti Pandita from UCI Health discusses how providers can build the alignment, governance and trust needed to break down data silos and truly scale AI transformation.

The Peterson Health Technology Institute says fee-for-service could drive up spending as autonomous AI expands, and urges payment models that reward better outcomes and lower costs.

More precise navigation can improve provider matching, shorten time to intervention and help health systems measure whether digital access actually works.

Health systems are testing whether nursing documentation automation improves presence, note quality, wellbeing and retention – not just reducing the minutes required to finish a note.

As documentation automation spreads, health systems must preserve clinician verification, define accountability, and give frontline nurses authority from vendor selection through ongoing oversight.

Temporary federal rules are forcing health systems to build uncertainty into multiyear virtual care decisions on technology, staffing, workflows and clinical programs.