Upcoming Da Vinci Community Roundtable on February 25 at 4:00 pm ET

As the federal government signals stronger enforcement and clearer expectations for healthcare pricing transparency, the ability for patients to make informed decisions has become a cornerstone of modern care efforts. The HL7® Da Vinci Project Community Roundtable, taking place on February 25, 2026, from 4 – 5:30 p.m. ET, will bring together the pioneers who are turning these regulatory expectations into reality.

The January roundtable set the stage for 2026 by focusing on overall use case progress and adoption readiness. This February session, “Navigating Patient Cost Transparency Using HL7 FHIR: Insights from Industry Leaders,” zooms in on Patient Cost Transparency (PCT), moving from the "why" of transparency to the "how" of implementation. Attendees will hear directly from early adopters about how they are navigating the complexities of Good Faith Estimates (GFE) and building the infrastructure for a more patient-centric ecosystem.

The upcoming 90-minute session will focus on:

• The Evolving Transparency Landscape: An overview of how recent federal actions and the No Surprises Act are driving an industry effort to increase transparency and empower patients.
  
• Standardizing Good Faith Estimates: Insights into the HL7 FHIR-based approach to PCT and how it automates the exchange of cost data between providers and payers.
• Real-World Pilot Progress: First-hand accounts from Aetna/CVS Health and Kyruus Health on how they are leveraging FHIR along with their existing infrastructure and previous work to streamline implementation of PCT, as well as lessons learned.
• The Role of Innovative Apps: How standardized data enables accurate, real-time access to medical costs via consumer-facing applications prior to the delivery of care.
• Collaboration Strategies: What organizations should keep in mind when working in an ecosystem-based solution, where it’s not just one group involved but a whole mix of partners that need to collaborate for success.

How States Can Move From Fragmented Programs to Shared, Scalable Infrastructure Using FAST

The CMS Aligned Networks Pledge marks a clear inflection point in federal health IT policy. For the first time, Centers for Medicare & Medicaid Services (CMS) is not simply setting compliance requirements for individual programs—it is asking the healthcare ecosystem to operate as connected networks, capable of secure, real-time, standards-based data exchange across payers, providers, public health and patients.

For states, this shift is significant.

States are no longer just one participant among many. They are increasingly the anchor for trust, identity, consent and directory infrastructure that enable CMS-aligned networks to function at scale. Medicaid programs, state CIO offices and HIEs sit at the intersection of policy, operations and technology. The CMS Aligned Networks Pledge makes that role explicit.

This blog explains:

1. What the CMS Aligned Networks Pledge really changes for states
2. Why traditional, program-by-program approaches will not scale
3. How the  HL7® FHIR® at Scale Taskforce (FAST)  provides the infrastructure states can reuse across initiatives
4. How states can leverage existing systems and vendors without starting over

The CMS Aligned Networks Pledge: A Shift from Programs to Infrastructure

Historically, CMS initiatives have been implemented as discrete programs:

• A new reporting requirement
• A new API mandate
• A new exchange use case
• Trusted digital identity and patient matching
• Scalable security and partner onboarding
• Computable, portable consent
• Authoritative directories for endpoint discovery

The CMS Aligned Networks Pledge represents a different expectation.

CMS is signaling that future interoperability depends on shared infrastructure capabilities, including:

• Trusted digital identity and patient matching
• Scalable security and partner onboarding
• Computable, portable consent
• Authoritative directories for endpoint discovery

These are not features of a single application. They are ecosystem functions.

For states, this means success is no longer measured by whether a single system goes live, but by whether multiple programs can reuse the same trust and exchange foundations.

Those of us working across health policy, technology, and standards are reimagining a system where individuals experience better outcomes, lower costs, and greater trust in how their health information is used and shared.

At HL7® International, a global standards development organization with members and affiliates in more than 50 countries, we are meeting our challenge head-on through collaboration and innovation. The HL7® FHIR® at Scale Taskforce (FAST) Accelerator takes that mission further by tackling the hard problems of scalability: Identity, Security, Consent, and National Directory services. These components are the backbone that supports the CMS Health Tech Ecosystem and Aligned Networks Pledge.

Paired with the Da Vinci Project, which applies FHIR to payer–provider workflows like prior authorization, clinical data exchange, payer data exchange, and patient cost transparency. HL7 is aligning infrastructure with real-world use cases. Da Vinci has recognized the value of FAST standards by selecting FAST Security as part of their security recommendations in their core health record exchange (HRex) specifications, showing a convergency across the ecosystem.

Where Sequoia’s RCE Role Elevates the Work: TEFCA as the National Trust Layer

FAST isn’t building infrastructure in a vacuum. Its work aligns with the Trusted Exchange Framework and Common Agreement (TEFCA), led by The Sequoia Project as the Recognized Coordinating Entity (RCE) for ASTP/ONC. TEFCA is a national framework for the secure and trusted exchange of clinical data across networks.

The HL7® Da Vinci Project is extending the deadline to nominate outstanding contributors for its 2025 Community Champions recognition program. Community members now have until Friday, February 6, 2026, to submit nominations, giving an extra week to spotlight colleagues and collaborators who are making a real impact on healthcare interoperability.

The Community Champions program honors individuals from across the Da Vinci Project's diverse, multi-stakeholder ecosystem, including health plans, provider organizations, accountable care organizations (ACOs), and health IT vendors. As an HL7® FHIR® Accelerator, the Da Vinci Project brings together public and private sector leaders to advance standards that support automated workflows, real-time data exchange, reduced administrative burden and improved care coordination.

Since launching in 2020, the Community Champions program has recognized individuals who embody a spirit of “industry above self.” Champions are known for their collaboration, leadership, and commitment to advancing real-world adoption of HL7 FHIR standards in support of value-based care and a more connected healthcare system.

HL7 International has announced the appointment of Patrick (Pat) McGinn, MBA, CAE, as its new Chief Operating Officer (COO), strengthening the organization’s leadership team during a pivotal period of transition.

Pat brings more than 20 years of executive leadership and operational experience across professional associations. He joins HL7 from the American Society of Civil Engineers (ASCE), where he most recently served as Director of the Utility Engineering & Surveying Institute, leading strategic planning, program development, education and standards initiatives, and member engagement.

In his role as COO, Pat will oversee HL7’s operational functions, including technology, membership services, and internal operations, while supporting the organization’s global mission to enable safe, scalable health data exchange.

Join Us for the January Da Vinci Project Community Roundtable on January 28, 2026, from 4 - 5:30 pm ET

As we enter 2026, the healthcare industry continues to move from planning to active implementation of standardized data exchange. Because the first phase of the CMS-0057-F Interoperability and Prior Authorization Final Rule took effect this month, the stakes for technical and operational alignment have never been higher. The HL7 Da Vinci Project Community Roundtable, taking place on January 28, 2026, from 4 – 5:30 pm. ET,  will provide insights and resources to navigate this pivotal year.

What You'll Learn

Our previous sessions focused on how using Da Vinci burden reduction and payer data exchange IGs are transforming healthcare and how best to meet prior authorization regulatory requirements. This January session builds on that foundation by outlining key use cases, IGs, and the progress made in standardized data exchange.

Gain valuable knowledge on operational enhancements and resources to optimize your planning for smoother HL7 FHIR implementations, including implementation guides referenced in federal regulations. Additionally, hear about Da Vinci's 2026 priorities and the HL7 Da Vinci Community Champions program. 

HL7 has announced the appointment of Professor Rachel Dunscombe as its new Chief Executive Officer effective January 19, marking the start of the organization’s next phase of growth in global health data interoperability. She succeeds Charles Jaffe, MD, PhD, who concludes nearly two decades of leadership at HL7.

Rachel brings extensive global experience in digital health, interoperability and standards-based transformation. Prior to joining HL7, she served as CEO of openEHR International, where she helped accelerate worldwide adoption of open health data standards and strengthened collaboration among governments, standards bodies and healthcare organizations.

Her career includes senior roles in healthcare delivery, national digital strategy, executive education and leadership in international standards communities. She has been recognized for her ability to unite diverse stakeholders and advance practical implementation of health data standards at scale.

The HL7® FHIR® at Scale Taskforce (FAST) continues to translate national interoperability policy into implementable, real-world infrastructure. This month marks several major milestones, including the opening of the FAST Consent Ballot, the official publication of FAST Identity STU 2 and FAST Security STU 2, and continued progress on FAST National Directory toward STU 2. This reinforces the growing momentum toward CMS-Aligned Networks powered by FAST. 

These advances demonstrate how standards, trust frameworks, directory infrastructure and testing at scale converge to support scalable, secure and interoperable data exchange across the healthcare ecosystem. 

FAST Consent Ballot: Advancing Scalable, Network-Ready Consent 

The FAST Consent Implementation Guide (Edition 1 – US Realm) has entered formal HL7 balloting, providing the industry with a practical, interoperable approach to consent management at scale. 

The guide is designed to support: 

• Computable and portable consent representations across organizational and network boundaries 

• Subscription-based workflows for consent updates and downstream disclosures 

• Alignment with FAST Identity, FAST Security, and FAST Directory infrastructure 

• Use cases spanning payer-to-payer exchange, provider workflows, HIEs, and consumer-mediated access 

 Overall Winner

The  Integrated Medical Management and Educational Gateway (IMMEG) Venous Management System (I-VMS) is an AI-enabled, standards-based platform that projects a vectorized atlas of the deep thoracic venous system onto routine chest radiographs. Using deep-learning landmark detection and HL7 FHIR®/DICOM interoperability, the system lets clinicians visualize the catheter trajectory and tip position in patient-specific anatomy, record planned versus actual placement, and build a reusable, longitudinal venous access record across organizations. The project was developed for Vanguard with support from Xzyos.ai. 

Clinical Problem and Context 

Central venous access is essential for chemotherapy, parenteral nutrition, dialysis and critical care, yet malposition and related complications—venous injury, thrombosis, infection, and device dysfunction—remain common and costly. Post-procedure assessment usually relies on plain chest X-rays, which do not directly visualize venous structures. As a result, clinicians infer anatomy indirectly; documentation is inconsistent; and comparing procedures over time is difficult. There is no consolidated, spatially normalized record of a patient’s venous history to guide future decisions.

Core Innovation

 I-VMS predicts anatomical landmarks (e.g., carina, first thoracic vertebra T1, lateral edge of the right rib) on a radiograph with a modified DenseNet121 model implemented in MONAI. These coordinates establish a patient-specific basis for an affine transformation that overlays a standardized, vector-based venous atlas onto the image. Clinicians can accept or adjust landmarks and annotate intended and actual entry and tip positions. Because annotations are stored in a normalized coordinate space, results are comparable across encounters and over time, enabling longitudinal analysis and population-level learning.

Reflections from the ADAPT Chief AI Officers on Innovation Panel Discussion, November 2025

After decades of working toward seamless health data interoperability, we find ourselves at another pivotal moment. The rapid adoption of Artificial Intelligence (AI) in healthcare presents us with a familiar challenge wearing a new face: how do we ensure these powerful new tools work together transparently, accountably, and in the service of better health for people everywhere?

At a recent ADAPT conference panel, I had the opportunity to reflect on what our interoperability journey can teach us as we venture into standardizing intelligence, not just data. Here are some key insights from that conversation.

The Journey Continues

First, a grounding perspective: this is a journey, not a destination. Despite all the progress we've made in healthcare interoperability, too often, people still move faster and further than their health information. The ability for any digital tool—including AI—to help people make better health decisions is always limited by the scope of data in its purview and its capability to make sense of it.

Even the most powerful AI we can imagine must overcome the same boundaries we've always faced: technical, organizational, business, and jurisdictional barriers that prevent us from seeing the complete picture of health information relevant for individuals or populations.

However, HL7's decade-plus journey with Fast Health Interoperability Resources (FHIR® ) has taught us something crucial: open standards are a potent fuel for innovation. The vibrant, open, collaborative community around FHIR wasn't just a nice byproduct—it was the key force that created a well-tuned specification and enabled it to flourish in the marketplace.

Open standards level the playing field, reduce barriers to participation, and free organizations from proprietary formats. They unlock new connectivity, preserve data sovereignty, and most fundamentally, enable new digital freedoms. As we approach AI standardization, maintaining this commitment to openness isn't guaranteed, but it's the future we're fighting for.