InterSystems has joined forces with Google Cloud to take on one of healthcare’s biggest headaches: fragmented and unreliable data. The partnership, announced during the HLTH conference, combines InterSystems HealthShare platform with Google Cloud’s data and AI technologies to create a single, real-time foundation for next-generation healthcare applications.
For years, hospitals and research networks have struggled to pull together records scattered across incompatible systems. Numerous health bodies continue to use old fashioned data silos that hamper them from conducting analytics or giving AI driven decision support. InterSystems aims to change that by linking its data harmonization and interoperability tools directly with Google Cloud’s scalable, AI-ready infrastructure.
Don Woodlock, who leads Global Healthcare Solutions at InterSystems, said the real value of AI depends on the quality of data that fuels it. He explained that by connecting HealthShare with Google Cloud’s ecosystem, health systems can finally use their information more effectively and focus on improving clinical workflows instead of wrestling with fragmented systems.
The integration allows healthcare providers to clean, organize, and standardize massive amounts of data while using Google Cloud tools such as BigQuery and Vertex AI for analytics and automation. This setup also supports advanced models, including the Gemini family of AI tools, for tasks like decision support, population health management, and administrative streamlining.
Aashima Gupta, Google Cloud’s global director for healthcare strategy, said the collaboration gives hospitals a clearer and safer path to using AI. She noted that many health systems hesitate to deploy AI because their data remains disorganized, but combining InterSystems’ harmonization capabilities with Google’s secure cloud environment makes that process far more manageable.
The joint platform is available now through a bring-your-own-license model, with marketplace access on Google Cloud expected in early 2026 for North American users and a broader rollout to follow. The move signals how quickly healthcare is shifting toward data-driven innovation, as institutions look for reliable ways to make their information smarter, safer, and more connected in an AI-powered future.
