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Building Your GenAI Application on InterSystems

White Paper

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Revolutionizing How You Use Health Data

Generative AI applications represent a transformative leap in artificial intelligence, enabling systems to create new content, ideas, or solutions rather than merely analyzing or reacting to existing data. These applications are powered by models like Generative Adversarial Networks (GANs) and Transformer-based architectures such as GPT and BERT, which can generate human-like text, images, music, and even complex designs. From personalized marketing content and product recommendations to automated video production and code generation, the versatility of Generative AI is revolutionizing industries by delivering hyper-customized, scalable, and creative outputs at unprecedented speeds.

In healthcare, examples abound. Generative AI allows providers to automatically transcribe and summarize conversations with patients. It enables researchers to efficiently scan, summarize, and query large pools of information. And it aids in drug discovery by simulating biomolecules and predicting how they fit together. By combining this innovation with robust data platforms, healthcare workers and businesses can unlock new possibilities, ranging from multi-modal AI systems that integrate text, images, and speech, to enhanced decision-making processes based on generative insights.

InterSystems IRIS® for Health is a comprehensive platform for building and scaling Generative AI healthcare applications by seamlessly integrating robust data management, high-performance analytics, and real-time health informatics interoperability capabilities. Its multi-model database supports structured, unstructured, and multi-modal data, making it ideal for the diverse data requirements of Generative AI. It supports massive scalability through efficient caching, partitioning, and sharding.

Download the guide to learn more.

Další Zdroje, Které By Se Vám Mohly Líbit

Oct 09, 2026
AMIA Webinar
Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.
Sep 25, 2026
White Paper
Independent Research Study of InterSystems IntelliCare at EMC Healthcare
Sep 25, 2026
Industry Insights
The future of healthcare will be shaped by whether AI fits naturally into clinical work, whether clinicians trust it, whether governance makes adoption safer, and whether outcomes can be measured in real healthcare environments.
Sep 23, 2026
A Technical Architecture for Interoperable, AI-Ready Healthcare Data Platforms
A Data Platform Built for Healthcare Complexity
Sep 21, 2026
AI in Healthcare
Dr. Emeline Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
Aug 25, 2026
Capability Statement
InterSystems supports federal agencies and public-sector partners.
Aug 21, 2026
Industry Insights
Originally published by Becker’s Healthcare.
Jul 22, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion
Jul 20, 2026
Fundamentals
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
Jun 15, 2026
HIMSS Infographic
HIMSS Market Insights Survey Reveals Healthcare Leaders’ Data Priorities

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