Agentic AI in Healthcare: Extending Governance to the Pathway

By Robin Roberts (PointClickCare), Vice Chair, EHR Association AI Workgroup, and Lukasz Kowalczyk, MD (Provation), Member, HIMSS Physician Committee

This is the first of a 5-part joint blog series from the EHR Association and the HIMSS Physician Committee exploring AI governance in healthcare.

Most of the conversation about AI in healthcare has centered on one question: is the answer correct? That made sense when the technology’s output was a draft or a suggestion for a person to evaluate.

It’s no longer the primary question.

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AI in Healthcare: What I Learned from Our Fireside Chat with AWS

By Leigh Burchell (Altera Digital Health), Chair, EHR Association

At a recent EHR Association General Membership Meeting, an event we hold monthly to bring together our members for conversations on a wide variety of topics, I had the pleasure of sitting down with Bret Borota, Head of Global Strategic Sales and Business Development for Healthcare and Payer Segments at Amazon Web Services (AWS), for a wide-ranging fireside chat on the state of AI in health IT.

Bret brings a unique vantage point to this conversation: a current portfolio spanning medical imaging, EHRs, interoperability, revenue cycle management, and commercial payers, plus 20 years in health IT before joining AWS.

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EHRA Statement on “A National Policy Framework for Artificial Intelligence”

The EHR Association shares the following thoughts on the Trump Administration’s A National Policy Framework for Artificial Intelligence:

The national AI policy framework released by the White House is an important and promising step toward urgently needed regulatory clarity. The EHR Association has consistently supported a federal approach to AI governance to prevent the rapidly emerging patchwork of conflicting state requirements that complicate compliance, increase provider burden, and impede innovation. In addition to acting on this general policy framework, we urge Congress to include healthcare-specific AI governance requirements that differentiate between low- and high-risk use cases in any federal framework that is put forward. We will continue collaborating with federal and state leaders to ensure that healthcare AI policy protects patient safety, fosters provider and patient confidence, supports clinical workflows, and enables responsible progress.”

– Tina Joros, JD, (Veradigm), Chair

EHR Association Artificial Intelligence Workgroup

EHR Association Statement on the White House “Make Health Tech Great Again” Event and Vendor Pledge

The EHR Association shares the following statement regarding the White House’s “Make Health Tech Great Again” event hosted by CMS and announcing a collaborative effort to “begin laying the foundation for a next-generation digital health ecosystem that will improve patient outcomes, reduce provider burden, and drive value.” 

The EHR Association welcomes the Administration’s innovative thinking on how to accelerate health data interoperability and information sharing and commends the developer community’s proactive commitment to this voluntary pledge. By expanding access pathways—from patient-facing applications to provider EHRs to payer claims management systems—and encouraging adoption of advanced AI and digital tools, the ‘Make Health Tech Great Again” initiative promises to accelerate progress toward a more connected and transparent healthcare ecosystem. We look forward to working alongside CMS, ASTP/ONC, and other stakeholders to learn more about implementing this important initiative.

– Leigh Burchell of Altera Digital Health, Chair of the EHR Association

EHR Association Statement on the AI Action Plan

The EHR Association shares the following statement regarding the Trump Administration’s “Winning the Race: America’s AI Action Plan,” which was released yesterday (July 23, 2025) by the White House. 

“The EHR Association commends the administration for its commitment to advancing safe, effective, and innovative AI. As we evaluate the implications of the AI Action Plan for our member companies, their healthcare provider clients, and, most importantly, patients, we reiterate our call for a uniform, risk-based regulatory model at the federal level. Fragmented state mandates risk slowing innovation and complicating compliance, which could deter innovation and adoption. We look forward to collaborating with regulatory agencies and impacted stakeholders to determine the best path forward in achieving the goals of the AI Action Plan.”

– Leigh Burchell of Altera Digital Health, Chair of the EHR Association

Core Issues for Federal AI Regulations

By Tina Joros, JD (Veradigm), Chair, and Stephen Speicher, MD, MS (Flatiron Health), Vice Chair, EHR Association AI Task Force

The regulatory landscape for AI is on the cusp of dramatic change. As we await the release of the AI Action Plan called for in the January 2025 Removing Barriers to American AI Innovation Executive Order and as federal agencies review their existing AI policies, we have seen an influx of proposed laws at the state level to address concerns about the use of AI in healthcare technology. This increase in state-level activity may lead to regulatory fragmentation that makes it more complex for EHR vendors and health systems to build and support AI tools designed to help advance patient care.

This increased focus on AI is highly relevant to EHR Association members who continue to deploy software capabilities that comply with EHR certification program transparency requirements for the use of Decision Support Interventions (DSI) involving AI and machine learning (ML) capabilities. Most of our member companies are also developing, piloting, or have already deployed generative AI solutions that can be leveraged to resolve many challenges confronting the healthcare industry.

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