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Panelists propose CMS‑aligned data coalitions and pilot funding to surface upstream safety risks

P-TECH expert session on patient safety, health IT, and data analytics · June 15, 2026
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Summary

An industry and data‑platform panelist proposed 'star alliance' collaboratives that combine payer, provider and patient longitudinal data to generate safety evidence and suggested CMMI grants and existing CMS APIs as mechanisms to pilot and scale improvements.

A panel at the P-TECH session urged federal support for coalitions and technical standards that would link payer claims, clinical records, and patient‑reported information to identify safety problems earlier in a patient’s care trajectory.

Aneesh, chair of the Arcadia Institute, criticized current electronic clinical quality measures (eCQMs) as brittle and overly reliant on hard‑coded SQL logic tied to EHR documentation. He argued that many safety events are invisible because measures begin at hospital admission rather than earlier in the patient journey. “We have to move away from proprietary logic hard‑coded into SQL calculating measures,” Aneesh said, calling for a data model that allows reasoning agents to extract evidence from clinical notes and longitudinal data.

Aneesh proposed creating 'star alliances' — consortia of health systems, payers, and researchers — to pool EHR and claims data, let patients contribute observations, and generate evidence on what prevents harm. He cited earlier CMMI funding (the High Value Health Collaborative) and suggested one‑time grants (e.g., ~$30 million scale) or smaller pilots across multiple states as feasible funding models. He advocated using existing CMS infrastructure (FIRE APIs, BCDA) and new standards (COIN/Conversational Interop) to enable reasoning layers that do not force clinicians to micromanage documentation.

Why it matters: Panelists said longitudinal data and collaborative evidence generation would allow regulators and providers to discover upstream warning signs that current measures miss, and then translate findings into shareable clinical decision support and payment models. Aneesh argued regulators can scale industry‑driven solutions once early adopters produce evidence and urged CMMI to fund demonstrators.

Panel discussion emphasized practical funding paths and suggested pairing demonstration grants with payment incentives so savings returned from improved safety could sustain collaborative work. The committee signaled interest in exploring CMMI‑style pilots and aligning standards to support such alliances.