TLDR: Epic Systems has unveiled a comprehensive suite of new artificial intelligence solutions, including generative AI and AI agents, designed to enhance clinical documentation, revenue cycle management, and patient interactions. Announced at its annual Users Group Meeting, these initiatives, part of over 160 AI projects, aim to combine human intelligence with AI capabilities to create ‘healthcare intelligence,’ leveraging Epic’s vast Cosmos research database of 300 million patient records for risk prediction and personalized care.
VERONA, Wisconsin – Epic Systems is significantly expanding its integration of artificial intelligence across its electronic health record (EHR) platform, as announced at its annual Users Group Meeting on August 19, 2025. The healthcare technology giant is embedding generative AI, AI agents, and other advanced capabilities throughout its software ecosystem, targeting improvements in clinical documentation, revenue cycle management (RCM), patient-facing solutions, operational workflows, and clinical trial management.
Judy Faulkner, CEO of Epic, revealed that the company is actively working on more than 160 AI projects, with many already completed or in progress, and others set to permeate every aspect of their software. Faulkner emphasized a shift in terminology, stating, “Instead of calling it artificial intelligence, we’re calling it healthcare intelligence. We think these are going to make significant changes.” She highlighted the synergy between human expertise and AI, noting, “We are combining the intelligence and curiosity of the human being with the investigative capabilities of gen AI.”
Epic’s strategic focus on AI aims to alleviate the documentation burden on clinicians, streamline charting and coding processes, and deliver evidence-based medical insights directly to the point of care. The company’s MyChart in-basket augmented response technology (ART), for instance, is already in use at 150 healthcare systems and medical groups, generating approximately 1 million draft responses to patient messages each month. This innovation is reported to save clinicians about half a minute per message, with patients often preferring the AI-generated responses due to their empathetic nature.
Further advancements include an AI tool integrated with ambient voice technology, currently deployed in 186 organizations, to assist with charting progress notes following patient exams. Epic is also developing conversational AI agents designed to prepare patients for appointments by discussing care goals and identifying necessary tests, then summarizing this information for both patients and physicians.
Central to Epic’s AI strategy is its Cosmos research database, a massive repository containing 300 million patient records derived from over 116 billion encounters across four countries. This extensive dataset powers advanced AI applications like Cosmos AI for risk prediction and a ‘Look-Alikes’ tool, live at 65 sites, which helps identify rare diseases by finding patients with similar symptoms and facilitating connections between their physicians. The integration of genomic sequencing data into Cosmos via ‘Cosnome’ is also live, paving the way for precision medicine and more personalized treatments.
Looking ahead, Epic plans to roll out additional AI features, including a discharge planning agent, patient-reported outcomes insights, a pre-surgical risk calculator, a MyChart virtual assistant, patient-facing imaging results overviews, and a patient flow agent. The company has approximately 125 AI-enabled features either live or in active development. Beyond clinical applications, Epic is diversifying its offerings into clinical trials, life sciences, and enterprise resource planning (ERP), with an upcoming ERP suite designed to unify financial, operational, and clinical data for enhanced resource planning and supply chain management.
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Epic’s commitment to open standards is evident through its open-source AI validation software suite, launched in May 2024, available on GitHub for healthcare organizations to test and monitor AI models. The company also reported a surge in FHIR API usage, from roughly 6 billion to over 10 billion monthly calls, underscoring widespread adoption and benefits to patients and health systems.
