The Foundation for Change

Ecosystem: World Class Academic and Industry Partners

Our strength lies in building a connected ecosystem that brings together diverse expertise, resources, and perspectives. HHC establishes strategic partnerships to access cutting-edge solutions and domain expertise.

Portfolio: Research and Innovation

We are advancing a dynamic portfolio through partnerships that bring together clinicians, researchers, and data scientists to co-develop multimodal AI algorithms and address real-world challenges in healthcare and transform patient care.

Education: Equipping the community to leverage AI safety

We empower colleagues and communities to navigate innovation and AI technologies responsibly and effectively. At our Center for Education Simulation and Innovation (CESI), we are creating the hub for immersive learning, and simulation.

Governance: Evaluation, approval, monitoring

We have a strong governance which compromises of key stakeholders from legal, security, ITS, compliance, clinical, operational and finance teams. This ensures that new technology is safe, ethical, and aligned with organizational values. We embed risk management, prioritization, and oversight across the full project lifecycle.

Integration: AI in Clinical Practice

We ensure solutions are implemented in a disciplined and human-centered way. We embed continuous improvement and adoption strategies to maximize safety, trust, and value. We pilot first in focused settings to surface risks and refine solutions.

Data: HHC’s Data and Digital Platform to Facilitate Data Liquidity

Data is the fuel for innovation. By strengthening our enterprise data layer, we ensure multimodal data can flow securely, efficiently, and responsibly to power safe development and deployment.

Hartford Healthcare developed CESI, The Center for Education Simulation and Innovation where simulation and education converge to advance medical innovation, and soon be a hub where the full spectrum of AI-driven healthcare transformation comes to life.

Predictive: It analyzes patterns in data to forecast what might happen next. It can help identify patients at risk for certain conditions, predict hospital readmissions, or anticipate changes in a patient’s health.

Generative: It creates new content or ideas based on existing information. It can summarize clinical notes, draft patient education materials, or even simulate treatment scenarios.

Agentic: It goes beyond suggestions to take action on behalf of users within safe boundaries. It can automate tasks like scheduling follow-ups, updating records, or sending alerts.

Physical: It combines artificial intelligence with robotics and smart devices to interact directly with the physical world. It supports clinicians with precision, consistency, and safety.