Informatics at Scale: Translating Devices, Data, and AI into Cardiovascular Care”

DBEI Special Seminar Division of Informatics

The central question for health care technology is shifting from whether digital tools, connected devices, and artificial intelligence can demonstrate value in controlled settings to whether they can be used to redesign care delivery, oversight, and accountability at scale. This seminar examines why technically successful innovations often fail to become durable clinical programs, focusing on the economic, operational, governance, workflow, and implementation factors that determine whether technology changes care or merely adds complexity to existing processes. Cardiovascular care, particularly heart failure, provides a clinical lens through which to examine this challenge: the persistent gap between evidence-based therapy and real-world treatment reflects not only a knowledge gap, but an execution gap. The talk will consider how informatics infrastructure can support longitudinal systems for patient identification, outreach, medication optimization, laboratory monitoring, documentation, task routing, pharmacy integration, and safety oversight, drawing on emerging care delivery models within an academic health system. It will close by examining agentic AI and supervised clinical autonomy, including supervisory agents, autonomy boundaries, auditability, human oversight, and post-deployment monitoring. The central argument is that clinical informatics should be understood not simply as data science, analytics, or model development, but as the discipline that links technology, clinical expertise, governance, and operations to make evidence-based care safer, more reliable, and more scalable.