New service, Amadeus Intelligence, uses deep learning to produce more accurate predictive analysis for multiple uses  

Las Vegas, NV – March 6, 2018 – Orion Health today announced its machine learning service, Amadeus Intelligence, designed to help the health sector reduce operating costs and improve patient care. Led by ground-breaking research in machine learning, Orion Health is exploring meaningful ways to minimize waste in the healthcare sector and help clinicians make more accurate decisions at the point of care.

More than a third of the United States’ $3 trillion healthcare expenditure is wasted on unnecessary services and excess administration. With an aging population and a growing number of people with chronic illnesses, the issue is set to worsen.

Speaking from HIMSS in Las Vegas, Ian McCrae, CEO of Orion Health said, “More than $1 trillion in the U.S. is wasted each year on costly administration and avoidable hospital readmissions. 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.”

“We have yet to see the true impact of machine learning on healthcare. The last decade has been focused on integrating IT systems and capturing massive amounts of information about patients and their environments, the next decade will be to connect all that data and use machine learning for daily healthcare decisions, driving improved care, operational efficiencies, and cost effectiveness,” said McCrae.

Unlike most current uses of machine learning, Amadeus Intelligence ingests and combines multiple datasets from diverse data sources to predict multiple outcomes – financial, operational and administrative.

“The key to making a meaningful impact on healthcare is in the accuracy of the prediction, and the ability to respond,” said McCrae. “Tapping into the vast amounts of data available through many different sources — including relevant genomic, socio-economic and behavioral data, information from devices, and data based on demographics and climate — will engender better decision-making, drawing on information from entire populations to treat and manage a person’s health. Today healthcare organizations need more accuracy in their predictive analytics to reduce operational costs and improve patient care and outcomes.”

Readmission rates remain a costly challenge for healthcare organizations. With 17.6% of hospitalizations in the U.S. resulting in a re-hospitalization within 30 days, an estimated 76% of those re-hospitalizations are potentially avoidable, costing $30 billion. Research from Orion Health’s public private partnership, Precision Driven Health used a breadth of data types and applied machine learning models to achieve greater predictive accuracy, calculating potential savings four times higher than current predictive models. Using machine learning techniques, healthcare can expect larger reductions in readmission rates achieved in a far more cost-effective manner.

With more than 20 years building technology for the healthcare sector, Orion Health is working with select customers to apply machine learning to deeply mine the data within these organizations. While still in its infancy, data analysis combined with the rise of machine learning will provide clinical and financial insights to accelerate precision medicine, improve personalized treatments and maximize cost effectiveness of interventions.

Machine learning is perfectly suited to Orion Health’s existing product set. Using Orion Health’s Amadeus Platform and Rhapsody to ingest and manage multiple data types in large volumes and Amadeus Analytics to create cohorts based on existing and new insights, Amadeus Intelligence will apply machine learning to the data on the platform to enhance precision and prediction.

“Health data is varied in structure and quality, and Orion Health’s experience and expertise with this data combined with machine learning can unlock opportunities across the sector,” said McCrae.

The greater precision of identifying at risk populations will also transform the way clinicians work at the point of care. Unique to Orion Health, Amadeus Analytics and Amadeus Intelligence service connect seamlessly to its Amadeus Coordinate, care coordination tools including Care Plans and Pathways and Care Coordinator Activity Management which create actions and workflow to support identified patients.