Google Cloud recently announced a new physician search tool backed by generative AI called Vertex AI Search for Healthcare. Launched at HIMSS 2024, Vertex AI Search allows clinicians to search for information within disjointed patient records and notes for faster, more informed decision-making. The tool can also generate answers to questions posed about the patient record, making information easier to find, summarize, and digest. This functionality is a game-changer for time-strapped healthcare professionals who need access to the right information at the right time to deliver better patient care.
Vertex AI Search is integrated with both MedLM, Google Cloud’s family of models fine-tuned for healthcare use cases, and Healthcare Data Engine (HDE), Google Cloud’s platform that healthcare and life sciences companies use to make their data more useful.
While this is undoubtedly an exciting advancement for the healthcare industry, you might be wondering—what does this have to do with Redox?
Google Cloud’s HDE enables an interoperable, longitudinal patient record and provides clinical insights via HL7® Fast Healthcare Interoperability Resources (FHIR®), the healthcare industry standard. As organizations start to build generative AI solutions on top of HDE, they’ll need to synchronize disparate data from source systems like EHRs, Health Information Exchanges, digital health applications, and more to power models and deliver accurate results. This data is often housed in legacy formats that aren’t compatible with HDE’s modern FHIR foundation, necessitating data transformation before customers can take advantage of powerful AI, BI, and reporting tools.
This is where Redox comes in.
As Google Cloud’s preferred healthcare integration partner, Redox maximizes and accelerates the value of HDE. Redox’s deep expertise across 9,000+ healthcare integrations makes it faster and easier for organizations to aggregate and transform their legacy healthcare data for ingestion into Google Cloud. Powered by real-time data streaming via Redox, organizations can build bespoke generative AI applications with MedLM and enable use case accelerators like Patient Flow Explorer, Transitions of Care Analytics, and Social Determinants of Health Explorer via HDE to accelerate time-to-impact for patients.
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