Analytics

Patients in the largely rural pediatric population now have a better office experience and more personalized treatment with artificial intelligence, says VCH's physician informatics director.

Combining EHR data with clinical AI is giving hospitals a new edge.

Nearly seven in 10 hospitals were using predictive artificial intelligence in 2024, with a surge in the use of third-party or self-developed automated billing, the agency says. Also, hospitals slower to adopt AI are lower-resourced, suggesting a divide.

The House passed a bill to modernize the Veterans Affairs' claims process by creating an artificial intelligence tool to retrieve data, provide decision support, share information and generate claim-related correspondence.

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.