Analytics

These analyses enable a broader, more inclusive approach to care that helps staff optimize processes, not just for the most obvious cases, but for the entire patient population, explains a nurse deeply involved in the efforts and the technology.

The ability to actively manage data is the conduit to success in today's healthcare environment – maintaining engagement with frontline colleagues and surgeons is one key to success, says a physician admin at the East Coast health system.

Dr. Ty Gluckman, one of a team of hundreds of board-certified physicians who help with the evidence-based care standard of one vendor's clinical analytics system, offers some insights, as a practicing physician, into these IT imperatives.

Healthcare has too often been reactive. But a more forward-thinking approach, using tools and technologies for RPM, can help reduce readmissions, improve patient outcomes and enable success with value-based care models.

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact quality metrics – but their success hinges on thoughtful design and implementation, cardiac quality doc says.

New announcements also include an artificial intelligence tool to improve surgical operations while reducing waste and an EHR-agnostic AI scribe.

Contracted ASX-listed Beamtree to help find solutions to improve health data quality across 20 hospitals.

"Despite the overwhelming strategic priority of improving patient and member experiences, most organizations lack the necessary infrastructure and data integrity to support it," Verato finds.