Electronic Health Records (EHR, EMR)

At HIMSS25, data experts from the health system will describe how a machine learning model integrated with their Epic EHR gives care teams patient-specific guidance to prevent falls.

Artificial intelligence forecasts scheduling changes and improves resource productivity and team coordination to increase case volumes without compromising quality and decrease staff burden. The result for Houston? A 15% increase in OR capacity.

The newly launched platform integrates registration, test data sharing, pre-consultation, and remote treatments.

More providers are finding artificial intelligence can reduce clinician burnout and lower recruiting costs. Meanwhile, tech vendors on the frontier of agentic AI innovation are looking to healthcare as a first use case.

The vendor will be introducing ambient listening and medical scribe technologies, and will showcase artificial intelligence that extracts data from documents in various formats and new population health tools for value-based care.

Initial findings from a three-year analysis from athenahealth suggest the idea that providers' use of digital patient outreach tools increase documentation burdens is a misconception.

When evaluating electronic health record systems to minimize documentation burden, usability is always the big challenge, says one informatics expert. Customization capabilities can help a lot, and so can robust and ongoing training programs.

Despite staffing shortages and chaotic work environments, market researchers said increased clinician EHR satisfaction, improved payer/provider relationships and progress on SDOH are advancing healthcare delivery.

Over the years, Western Health, one of the largest health services in Victoria, has consolidated 25 different systems into one, says digital health division director Lily Liu.

The electronic health records vendor says it will remain "open to all opportunities."