Earlier this year, Google released its Cloud Healthcare API to the general public in order to help researchers, developers, and data scientists make use of often siloed and disconnected healthcare data.
The Cloud Healthcare API—which is designed to help solve interoperability issues — utilizes the most common healthcare data formats, including FHIR, HL7v2, and DICOM. It enables secure and compliant data exchange between disparate health IT systems and the cloud. Health and life science organizations can then seamlessly use that data in analytics, machine learning, AI tools, and customer applications on Google Cloud.
Today, we’ll discuss Onix’s work with Google Cloud to simplify deployment of this transformational tool.
How the Google Cloud Healthcare API Enables Interoperability
Providing data exchange between the advanced tools available in the cloud and fragmented healthcare data sources is as important as ever to make sure clinicians and patients have the information they need to make informed decisions. The COVID-19 pandemic has only amplified the need for a real-time unified view of healthcare data.
