Analytics

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.

Fakeeh Care Group CIO Dr Tamara Sunbul emphasises hospital digital transformation and the need for credible assessment models.

At UGM25, the EHR giant announced new artificial intelligence models being developed for clinical charting through a collaboration with Microsoft, a patient-facing generative AI chatbot and a revenue cycle management agent. 

It has also saved around $1,700 in costs per patient, according to a recent study.

In one year, AMA's members leaped from curiosity in artificial intelligence tools to their integration into practice. Now, an eight-step governance framework encourages providers to establish AI accountability, oversight and staff training requirements.