Orion launches Amadeus Intelligence and delivers Rhapsody-as-a-Service

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Orion Health is leading world-firsts in research using machine learning with the recent launch of Amadeus Intelligence and the delivery of Orion Health’s cloud integration engine, Rhapsody-as-a-Service (RaaS).

“RaaS has customers already migrating to the cloud,” said Ian McCrae. “Combined with advances in security and compliance, healthcare organisations are migrating out of their private data centres to support the next generation of technology for precision medicine and population health. New levels of infrastructure agility and scale provide multiple options for continuous delivery and cost efficiency. Applications that used to take months to deploy can now take just minutes. The cloud makes it much easier to interoperate with the digital healthcare ecosystem, including care partners and consumers.”

The company’s Amadeus cloud platform continues to grow successfully to support new and existing customers, improving health outcomes and continuing innovation in the sector. Amadeus has demonstrated to the health sector how to deliver true interoperability, leveraging the best of modern technology while also creating an open API-based health ecosystem for partners to implement their applications.

Led by ground-breaking research in machine learning by Orion Health and Precision Driven Health, a public private partnership between New Zealand District Health Boards and University of Auckland, Amadeus Intelligence was announced last month at HIMSS18, the world's largest healthcare conference. The new service uses machine learning to explore meaningful ways to reduce operating costs in the healthcare sector and help clinicians make more accurate decisions at the point of care.

“We’re yet to see the true impact of machine learning on healthcare. It is an exciting time to be in healthcare technology,” said McCrae. “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.”

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

“Tapping into the vast amounts of data available through many different sources – including relevant genomic, socio-economic and behavioural data, information from devices and data based on demographics and climate – will give healthcare organisations access to accurate predictive analytics to reduce operational costs and improve patient care and outcomes.”

An example of recent research from Orion Health and PDH used machine learning techniques in the healthcare sector to reduce hospital readmission. Readmission rates remain a costly challenge for healthcare organisations and by using a breadth of data types and applying machine learning models the research calculated potential savings that were four times higher than current predictive models.

Source: Orion media release, 28 March 2018

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