NTT DATA

Federal health agencies are entering a period where modernization is defined by integration, not implementation. Cloud environments, AI‑enabled operations, and stronger cyber defenses are becoming core to mission delivery, and the Preview event will explore the shared pressures and priorities shaping that shift. This session sets the tone for the 2027 Health IT Summit by focusing on broad, cross‑agency themes rather than program‑specific details, keeping the door open for a wide range of speakers and perspectives.

Leaders from across the federal health community will discuss how agencies are preparing for federated data environments, expanding the use of generative and agent‑based AI, strengthening supply‑chain‑aware cybersecurity, and improving digital engagement tools that support preventive care. These themes mirror the Summit’s focus on integrating cloud, AI, and cyber capabilities to deliver measurable improvements in patient outcomes.

Key Discussion Areas

• Modernization pressures shaping 2027 priorities
• Federated data environments and secure cloud integration
• AI in clinical and operational workflows
• Cyber resilience across interconnected systems and supply chains
• Digital engagement and the shift toward preventive, data‑driven care
• Where agencies need partnership in 2027

The federal health IT landscape has shifted from basic technology rollouts to active operational integration. Driven by the "Make America Healthy Again" (MAHA) agenda, health IT, artificial intelligence (AI), and resilient cybersecurity are essential technologies supporting preventive wellness, cost reduction, and regulatory reform. However, as agencies consolidate shared services and retire vulnerable legacy systems, securing interconnected environments against third-party supply chain risks is vital for modernizing public health.

To support this massive data consolidation, cloud modernization remains a critical objective. Standard cloud infrastructure cannot provide the compute power or security architecture required for predictive modeling, population-scale genomics, and advanced AI. Federal policy now prioritizes federated data environments with secure, zero-trust networks that let agencies and researchers run complex AI models where the data lives. By eliminating the need to move massive medical records, these cloud environments break down agency silos, protect against unauthorized data exfiltration, and ensure continuous privacy compliance.

Within this infrastructure, generative and agentic AI models are transforming clinical operations by automating documentation and diagnostics. Yet as reliance on AI expands, health systems face aggressive ransomware and cyberattacks targeting operational availability. Federal directives now drive automated, AI-driven defense to protect critical health infrastructure without overtaxing a short-staffed cyber workforce. As a result, health agencies now require real-time threat hunting across all networks and vendor supply chains.

Finally, these secure frameworks converge to boost digital patient engagement, transforming consumer technology into a primary front line against chronic disease. Remote biometric monitors and advanced patient portals empower citizens to manage their health at home under new proactive payment models. Because every connected medical and Internet of Things (IoT) device expands the attack surface, embedding end-to-end encryption and device authentication ensures patient trust while shifting healthcare from reactive treatment to secure, data-driven wellness.

Ultimately, progress will be measured by a system's ability to seamlessly integrate federated cloud capabilities, ethical AI adoption, and resilient cyber defenses to deliver measurable improvements in patient outcomes.

Join us at the 2027 Health IT Summit, January 25–26, as we chart the course toward a healthier, more secure, and connected future.