Google Cloud Announces Healthcare Data Engine to Enable Interoperability in Healthcare
Today, Google Cloud announced the private preview of Healthcare Data Engine, an end-to-end solution for healthcare and life sciences organizations that harmonizes data from multiple sources, including medical records, claims, clinical trials, and research data. Healthcare Data Engine helps operational leaders, researchers, and clinicians gain real-time, holistic views of patient longitudinal records, and enables advanced analytics and AI in a secure, compliant, and scalable cloud environment.
According to recent Google Cloud-commissioned research conducted by The Harris Poll, nearly 9 in 10 physicians (87%) say data interoperability should be a priority at their healthcare organizations right now, and 95% of physicians agree that access to more complete patient records helps them make diagnoses more quickly and accurately. Most physicians (90%) say they would be able to provide more personalized care for their patients if they could reduce time reviewing or updating patient records by just 5%.
Building on and extending the core capabilities of the Google Cloud Healthcare API, Healthcare Data Engine makes healthcare data more useful by enabling an interoperable, longitudinal record of patient data, and providing clinical insights in FHIR format, the healthcare industry standard. This facilitates innovation and interoperability, helping healthcare and life sciences organizations make better real-time decisions—whether it is around resource utilization, optimizing clinical trials, accelerating research, identifying high-risk patients, reducing physician burn out, or other critical needs.
“As we are keenly aware from the pandemic, access to the right information, at the right time, is critical to saving lives,” said Joe Corkery M.D., Director of Product Management, Google Cloud. “We built Healthcare Data Engine to make it easier for healthcare and life sciences organizations to bring together their data silos to innovate and improve health outcomes.”
Healthcare Data Engine can map more than 90% of HL7v2 messages to FHIR—such as medication orders or patient updates—across leading EHRs out-of-the-box. This helps customers get up-and-running quickly and avoids the need to create custom tooling or services to translate between data schemas. Healthcare Data Engine also brings the power of Google BigQuery’s analytics and artificial intelligence to the healthcare industry, enabling organizations to process and visualize petabytes of their own patient data, which allows healthcare systems to take a more holistic view of patients in their surrounding communities and improve overall population health.
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