Google Cloud Healthcare Data Engine

MedLM is a suite of medically-tuned foundation models, developed by Google Research and available on Vertex AI.

• Unlock knowledge to transform your workflow: Helping you reduce administrative burdens and synthesize information seamlessly.
• Build customized solutions seamlessly: Customizable so that you can embed into your workflow and integrate with your data.
• Innovate safely and responsibly: Access and use of patient data is protected through the implementation of Google Cloud's reliable infrastructure and secure data storage that support HIPAA compliance.

Unify different clinical data formats from disparate systems into FHIR store to enable interoperability, security, and which supports HIPAA compliance.

Automatically export, transform, and synchronize petabytes of heavily nested FHIR data into BigQuery, unlocking data-driven insights and decision-making in near real time.

“Google Cloud's Healthcare Data Engine solution helps create interoperability across Highmark Health and with outside organizations. This interoperability engine reduces as much friction as possible, so we're not asking providers to leave their workflow and go somewhere else. We're trying to introduce everything in a seamless way, so workflows will become easy for them to execute. The improved interoperability has also allowed us to share data back and forth between our provider and community-based organizations to make sure patients' social determinants of health are being addressed. This will allow us to build a personalized, engaging platform for people to manage their health."

Dr. Richard Clarke, Chief Analytics Officer, Highmark Health