Search
Sharing data between systems is only useful if it can make a clinical difference at the point of care and improve people's lives, according to behavioral health providers and health IT executives convened by ONC.
The health system's use of telemedicine has saved more than 3,000 hours of bedside nurse time, supported by more than 16,000 virtual nursing sessions. The CNIO discusses this and other successes.
To bring novel precision evidence to existing workflows, the company said its growing medical library is accessible through more artificial intelligence-driven clinical technologies from Meta, Heidi Health, Humata and others.
Success Stories & ROI
"Our work highlights how combining clinical expertise with real-time data systems and automated digital tools can improve care for some of the sickest children in the hospital," says its clinical informatics specialist.
Australia is investing heavily in digital health – but without redefining ROI beyond short-term financial returns, much of its true value risks going unmeasured.
As artificial intelligence tools become more integrated and routine in care delivery, new enforcements could focus on governance, documentation and oversight, one healthcare attorney says. He offers his thoughts on defense strategies in healthcare AI-related cases.
Success Stories & ROI
For the Midwestern health system, the coding process change has gone beyond improving accuracy – it has strengthened how staff operate across the entire revenue cycle, from documentation through denial management.
A busy and productive week in Las Vegas has demonstrated how health systems are "focusing on practical implementation," with "governance and trust finally being treated as design requirements" for successful artificial intelligence deployments.
Success Stories & ROI
The rural health system has seen a significant reduction in employee turnover with the technology – an impressive feat, given national workforce challenges.
The Trump Administration's artificial intelligence proposals call on Congress and federal agencies to develop risk-based approaches to health AI standards while streamlining innovation. The list of tasks for lawmakers to tackle is extensive.
