HL7’s FHIR (Fast Healthcare Interoperability Resources) is largely seen as an enabler of health data exchange, which of course it is, but executives at IBM, Google and Microsoft said it will also lay the foundation for artificial intelligence and machine learning.
“Interoperability is the cornerstone of our healthcare strategy — teaching cloud to speak the language of healthcare: HL7, FHIR, DICOM,” Aashima Gupta, Global Head of Healthcare and Life Sciences at Google Cloud, said during a panel discussion here at HIMSS19.  
Google, in addition to IBM, Microsoft, Oracle and Salesforce, signed a pledge to remove interoperability barriers back in August 2018 during the Blue Button 2.0 hackathon at the White House. And while the companies have yet to provide specific details they said it will involve cloud computing, FHIR and open APIs.
“We’re competitors in many ways but also very much aligned because without interoperability we can’t really make a change and make a difference,” Mark Dudman, Health of Global Product and AI development at IBM, said. “Right now, FHIR is taking systems that don’t interact to talk quickly. We’ve hit that first real target of getting systems to talk, but now we have to talk in volume.”
As that interoperability advances and healthcare systems begin sharing those volumes of data more regularly, it sets the stage for many of today’s biggest trends, including population health, personalised medicine, and emerging technologies such as artificial intelligence and machine learning. 
“When we see modern data standards like FHIR emerge, it’s obvious this is a part of the democratisation of AI,” Peter Lee, Microsoft Corporate Vice-President of Research, said. “AI is still very artisanal. It depends on the craftsmanship of highly specialised people.”
The broader goal is not just making data available to PhD’s and data scientists but to build tools that democratise AI, which requires interoperable data as a foundational element.
“FHIR is the gateway to AI and machine learning,” Gupta said. “We want to top have FHIR in our analytics and machine learning tools.”
This article first appeared in the global edition of Healthcare IT News




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