Google Cloud launches a health interoperability solution


Google Cloud has launched a new solution that aims to enable interoperability in health.

Healthcare Data Engine is a state-of-the-art solution for healthcare and life sciences organizations that collects data from multiple sources, including medical records, clinical trials, and research data. It provides physicians, planners, and researchers with access to a complete, real-time image of a patient’s record in a secure cloud environment that supports analytics and AI.

Follow the Google Cloud Healthcare API, which it was launched in 2018, and was an open source tool designed to enable healthcare providers to collect and manage various types of medical data through the cloud.

This latest search engine solution is based on and extends to its Healthcare API enabling interoperable medical record and providing clinical information in FHIR format, the healthcare industry standard.

Joe Corkery, director of product management at Google Cloud, said, “We created the Healthcare Data Engine to make it easier for healthcare and life sciences organizations to put together their data silos to innovate and improve health outcomes.”

Healthcare Data Engine can assign more than 90% of HL7v2 messages to FHIR, such as drug orders or patient updates, in various electronic medical records, according to the technology giant. The advantages of this make customers get up and running quickly and avoid the need to create custom tools or services to translate between data schemas (organizing the data as a plan).

Healthcare Data Engine also uses Google’s BigQuery product and brings analytics and artificial intelligence to the healthcare industry with the goal of improving the health of the general population.

Although Healthcare Data Engine is only available in private preview, there have been customers who have already started using the service, including the Mayo Clinic which has been working with Google Cloud to provide data from different sources, translate it into FHIR format and then analyze it in BiqQuery.

Jim Buntrock, vice president of information technology at the Mayo Clinic, said: “By moving to the cloud we are able to build tools more easily, at scale, in a way that takes advantage of technological advances in security and privacy to keep us at the forefront of data protection.

“There are so many applications. For example, build an “up screen” for the ICU (where moments are important) to help care teams direct their attention when and where it is most needed. From creating better ways to care for patients remotely even after leaving the hospital to facilitating patient interaction with us through a mobile app, we work alongside Google Cloud to build a platform for transformation of health ”.

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