Artificial Intelligence Helps with Costs, Clinical Care at HIMSS18

March 8, 2018

The annual HIMSS Conference and Exhibition is the perfect time of year for health IT vendors to unveil their latest and greatest offerings.

With a captive - and captivated - audience of more than 43,000 registered attendees at HIMSS18, vendors showcasing solutions that leverage artificial intelligence to trim excess utilization, recoup revenue, and improve clinical outcomes tended to draw the biggest crowds.

Kicking off the weeklong celebration of innovation, CMS Administrator Seema Verma reiterated the importance of sharing data between patients, fellow providers, and health insurers in pursuit of a truly value-based care delivery system.

Data will play an increasingly important role in developing a healthcare ecosystem that can produce higher quality care at lower costs, she stressed - and artificial intelligence is already becoming a very useful tool for healthcare organizations trying to achieve those goals.

Orion Health has announced its Amadeus Intelligence engine that leverages machine learning to help providers reduce operating costs and improve the delivery of quality care.

"More than $1 trillion in the US is wasted each year on costly administration and avoidable hospital readmissions,” said Orion Health CEO Ian McCrae.

“Orion Health's Amadeus Intelligence will use machine learning models initially to predict patient costs and readmission risks, analyze clinical and financial outliers and enable accurate diagnosis coding and quality metric reporting to improve decision making at the point of care and target resources which will result in significant cost savings."

Synthesizing multiple datasets across the clinical, financial, administrative, and operational domains can better predict the likelihood of an individual patient experiencing a costly event, the company asserts.

The original article can be found at the HealthIT Analytics here.

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