Google Cloud Launches Gemini for Healthcare: Cross-System EHR Access and Insurance Review Support
Google Cloud has launched a specialized AI solution, Gemini for Healthcare, enabling AI agents to cross-system read electronic health records and assist with insurance prior authorizations via connectors and skills.
US cloud provider Google Cloud announced on November 10, 2026, the launch of "Gemini for Healthcare," a specialized AI solution extending its existing Gemini Agent capabilities. Rather than merely answering questions, this tool enables AI agents to retrieve data across disparate systems and assist in completing multi-step medical and administrative workflows. The solution is currently available in preview in the United States for Gemini Enterprise Standard and Plus customers.
To address the long-standing challenge of fragmented medical data spread across patient records, insurance claims, and administrative systems, Gemini for Healthcare introduces medical-specific Skills (work guidelines) and data connectors. Defined by medical experts, these Skills instruct the AI to gather necessary information according to hospital or insurance company operational rules. For instance, before a consultation, an AI agent can automatically review a patient's past diagnoses, test results, and medication records, summarizing current health issues, allergies, and pending tests to help physicians quickly grasp the patient's status.
In terms of system integration, the solution provides data connectors for Epic and Oracle Health electronic health record (EHR) systems, as well as InterSystems' FHIR MCP Server. To preserve the integrity of original medical records, the Epic and Oracle Health connectors currently allow AI to only read EHR data, strictly prohibiting any direct modification or write-back operations. Additionally, the AI can query external resources such as disease codes, drug information, clinical guidelines, and insurance coverage rules.
Beyond clinical support, the solution targets common US healthcare insurance processes like prior authorization and claims review. The AI agent can extract relevant evidence from medical records, cross-reference it with insurance policies to organize application materials, and assist in drafting appeal documents if an application is denied. However, the AI primarily handles the collection, organization, and comparison of information; final clinical and insurance review decisions remain the responsibility of qualified professionals.