AI Coding Live News

Google Cloud Launches Gemini for Healthcare in Preview: The Gemini Agent Comes to Health Systems and Health Plans, with 27 Connectors Including Read-Only Epic and Oracle Health EHR Access and HIPAA Support

On November 10, Google Cloud CEO Thomas Kurian announced Gemini for healthcare, available in preview in the U.S. starting today. It extends the universal Gemini agent introduced at Gemini at Work in October to health systems and health plans, and is built from four parts: healthcare skills, system connectors, a partner ecosystem, and one governed platform. It can assemble a patient history across care settings, prepare charts before visits, build prior-authorization packets against payer policy and draft appeals, and help payers check requests against medical policy and explain out-of-pocket costs. Google says the platform is built to support HIPAA compliance and that clinical data is never used to train its foundation models.

Google Cloud Launches Gemini for Healthcare in Preview: The Gemini Agent Comes to Health Systems and Health Plans, with 27 Connectors Including Read-Only Epic and Oracle Health EHR Access and HIPAA Support

Key Takeaways

  • Status: U.S. preview, available today, joining the existing solutions for legal, financial services, and government services (official blog)
  • Connectors: Google lists 27, spanning EHRs, eligibility and claims, terminology and coding, coverage rules, clinical guidelines, productivity, and security; Epic and Oracle Health EHR access is read-only, with no write-back to the chart
  • Pain point: Google says clinicians spend nearly 28 hours a week manually reconciling fragmented information (company figure)
  • MCP: InterSystems provides a FHIR MCP Server, and Keragon connects 400+ healthcare apps through a single MCP integration
  • Ecosystem: 16 systems integrators, including Accenture, Deloitte, KPMG, PwC, and TCS, help with deployment; model choice lets routine admin steps go to low-cost models
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OpenAI frontier models and Codex are coming to Google Cloud: Model Garden access, bought via Marketplace against existing GCP commitments

On Oct 21, OpenAI and Google Cloud announced a partnership bringing OpenAI frontier models and Codex agentic workflows into Google Cloud Model Garden, transacted through Google Cloud Marketplace so enterprises can draw down existing GCP commitments. OpenAI models will also come to Google Antigravity and Gemini Agent soon. General availability is planned in the coming weeks, and Microsoft remains OpenAI's primary cloud partner. After AWS, this puts OpenAI models on all three major US clouds.

OpenAI frontier models and Codex are coming to Google Cloud: Model Garden access, bought via Marketplace against existing GCP commitments

Key Takeaways

  • Channel: OpenAI frontier models and Codex come to Google Cloud Model Garden, transacted through Google Cloud Marketplace (official)
  • Procurement: enterprises can draw down existing GCP commitments, no separate OpenAI contract or invoice
  • Ecosystem: OpenAI models are coming soon to Google Antigravity and Gemini Agent, selectable alongside Gemini
  • Timing: GA planned in the coming weeks, access requests open now; Microsoft remains the primary cloud partner
  • Landscape: after Microsoft exclusivity ended in April and AWS added OpenAI models, OpenAI is now on all three major US clouds (per Reuters/CNBC)
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Google Cloud launches Gemini agent: universal work agent with Gemini+Claude routing, sub-agents and coworker identities, multi-day cloud persistence

At Gemini at Work 2026 (Oct 8) Google launched the Gemini agent: objectives from one prompt box spanning Q&A, knowledge work, media, and code; cloud-persistent memory with sub-agent/coworker orchestration and Gemini+Claude model choice. Private preview now.

Google Cloud launches Gemini agent: universal work agent with Gemini+Claude routing, sub-agents and coworker identities, multi-day cloud persistence

Key Takeaways

  • One universal work agent for Q&A, knowledge work, media, and coding from objectives not step lists
  • Sub-agents plus coworker agents with dedicated identity/@agents.company.com; multi-hour/day runs
  • Model choice decoupled: routes across Gemini family and Anthropic Claude today
  • Governance: Agent Identity, Gateway, sandbox, Smart Routing, per-project spend caps
  • Availability: private preview now; broader for select Workspace Business/Enterprise
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Google DeepMind: Gemini agentic video understanding cuts tokens up to 88%

Google DeepMind launched agentic video understanding on Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Models dynamically search frames, audio, and transcripts instead of ingesting video at a fixed FPS. Official claims include up to 88% fewer tokens, about 66% lower analysis cost, and up to about 7% better accuracy. It is live via the Gemini API, Google AI Studio, and the Gemini Enterprise Agent Platform at standard token pricing with no extra feature fee.

Key Takeaways

  • Available on Gemini 3.7 Flash / 3.6 Flash / 3.5 Flash-Lite; enable with processing=agentic.
  • Long-form video: up to 88% fewer tokens, ~66% lower cost, up to ~7% accuracy gain.
  • Supports uploads and YouTube; unlocks sub-second retrieval, anomaly detection, and precise counting.
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