Key Takeaways
- CMS has created the Office of Health Technology and Products to centralize AI, interoperability, and digital‑health oversight, making these issues core operational concerns for hospital CIOs.
- The office, led by Amy Gleason, will manage AI implementation across CMS programs and drive the Health Tech Ecosystem initiative to accelerate data sharing.
- Interoperability compliance is now tied to formal federal enforcement; vendors lacking standards‑compliant data outputs become contractual liabilities.
- Trustworthy clinical AI depends on a solid data foundation—terminology management, semantic interoperability, and data provenance are prerequisites, not optional extras.
- Wolters Kluwer positions its Health Language platform, UpToDate Expert AI, and Simplifi+ Pharmacy Compliance as tools that help health systems meet the new CMS expectations for data quality, AI readiness, and medication safety.
- Health systems should audit TEFCA alignment, verify AI vendors’ data lineage, prioritize terminology and data‑quality infrastructure, and evaluate pharmacy data platforms for structured‑output compatibility.
Overview of CMS Office of Health Technology and Products
In June 2026 the Centers for Medicare & Medicaid Services (CMS) consolidated its scattered technology functions into a single new unit, the Office of Health Technology and Products. This move signals that federal oversight of clinical artificial intelligence (AI) and health‑data exchange is shifting from a peripheral concern to a central operational reality for hospital chief information officers (CIOs). The office is tasked with designing and developing digital‑health tools, managing AI deployment across CMS programs, and promoting nationwide healthcare data exchange. By bringing these responsibilities under one roof, CMS aims to streamline policy implementation, reduce duplication, and create a clearer accountability pathway for both regulators and providers.
Leadership and the Health Tech Ecosystem Initiative
Amy Gleason, a strategic advisor to CMS under the current administration and the architect of the agency’s Health Tech Ecosystem initiative, has been appointed deputy administrator and chief product officer of the new office. Gleason’s Health Tech Ecosystem aims to accelerate data sharing and broader adoption of digital‑health solutions across payers and providers. Her leadership signals that CMS will pursue an aggressive agenda to foster interoperable standards, encourage AI‑enabled innovation, and ensure that emerging technologies align with federal quality and safety goals.
Implications for Interoperability Compliance
The formation of the Office of Health Technology and Products is part of a deliberate CMS effort to centralize and streamline its technology functions, which directly affects how health systems must document and demonstrate interoperability. Existing national frameworks such as the ONC’s Trusted Exchange Framework and Common Agreement (TEFCA) already require providers to build toward a unified data environment. A dedicated federal office focused on data‑exchange enforcement and digital‑health tool governance adds weight to those requirements, turning what were once best‑practice guidelines into enforceable obligations. For procurement and IT teams, this means that any vendor or platform unable to prove structured interoperability and standards‑compliant data outputs now represents a compliance risk. Concepts such as terminology management, data mapping, and semantic interoperability have moved from “nice‑to‑have” to contractually relevant criteria.
Impact on Procurement and IT Operations
Practically, the new CMS office will scrutinize the data‑exchange capabilities of health‑IT vendors during the procurement process. Organizations will need to verify that solutions can produce clean, standardized outputs that downstream analytics, reporting, and regulatory tools can consume without costly rework. Wolters Kluwer, for example, markets its Health Language platform as a means to maintain enterprise healthcare data in a single environment for authoring, modeling, and mapping to industry standards—directly addressing the data‑quality layer that interoperability mandates demand. As a result, health‑system IT teams should prioritize investments in terminology services, data‑quality engines, and mapping tools when evaluating or renewing contracts.
Clinical AI Readiness Depends on a Trusted Data Foundation
The office’s mandate to manage AI implementation across CMS programs will intensify scrutiny of how health systems validate the AI tools they deploy. For technology leaders, the central question has shifted from “whether to adopt AI” to “whether the underlying data infrastructure can support trustworthy AI outputs at the point of care.” Wolters Kluwer notes that its clinical solutions are used by organizations in more than 180 countries and trusted by over 90 % of U.S. academic medical institutions, with more than two million clinicians relying on them. The company frames AI‑enabled clinical decision support—such as UpToDate and UpToDate Expert AI—as delivering real‑time, evidence‑based insights aligned to clinician workflows. Crucially, Wolters Kluwer’s whitepaper on medication intelligence emphasizes that structured drug‑data layers are foundational to AI readiness, a point that resonates with any vendor building AI atop existing EHR and pharmacy infrastructure.
Wolters Kluwer’s Role and Solutions
Wolters Kluwer positions several of its products to help health systems meet the new CMS expectations. The Health Language platform tackles the terminology and semantic‑interoperability challenge by providing a centralized environment for authoring, modeling, and mapping clinical vocabularies to standards such as SNOMED CT, LOINC, and RxNorm. UpToDate Expert AI offers AI‑driven clinical decision support that is explicitly tied to vetted, evidence‑based content, ensuring that AI recommendations are grounded in high‑quality data. Meanwhile, the Simplifi+ Pharmacy Compliance platform supports safer, more connected pharmacy care within an interoperability context, helping health systems manage medication data across care settings and payer requirements. Together, these solutions address the data foundation, AI readiness, and medication‑safety dimensions that the CMS office will emphasize.
Clinical Workflows, Technology Stack, and Pharmacy Operations
Beyond compliance, investing in foundational health‑technology infrastructure yields operational dividends. Advanced analytics—critical for uncovering population‑level trends, predicting risk, and optimizing resources in value‑based care—depend on clean, standardized data that many health systems are still striving to achieve. Pharmacy operations represent another pressure point: medication data must be accurate, timely, and exchangeable across settings to support safe prescribing and adherence initiatives. Wolters Kluwer’s Simplifi+ Pharmacy Compliance platform is positioned to meet these needs by delivering structured, standards‑based medication information that can feed AI‑assisted prescribing tools and cross‑setting care‑coordination workflows. As AI‑assisted medication management becomes more prevalent, the drug data layer will be a key evaluation criterion for any health‑system technology stack.
Practical Recommendations for Health Systems
To stay ahead of the CMS office’s evolving expectations, health‑system leaders should take several concrete steps. First, audit current interoperability posture against TEFCA requirements now, identifying gaps before formal reporting or audit expectations emerge. Second, evaluate clinical AI vendors not only on model performance but also on their ability to document data lineage, terminology‑standards compliance, and the provenance of underlying content layers. Third, prioritize terminology management and data‑quality infrastructure in near‑term procurement cycles, recognizing that semantic interoperability is the foundation for both AI readiness and regulatory compliance. Fourth, review pharmacy compliance and drug‑data platforms for structured‑output compatibility, especially if the organization is pursuing AI‑assisted medication management or cross‑setting care coordination. By aligning technology investments with these priorities, health systems can turn the CMS office’s focus from a compliance burden into a strategic advantage for safer, more efficient, and data‑driven care.