Data Governance consulting for healthcare organizations. Senior-led, fixed-price engagements with industry-specific use cases.
Most multi-hospital systems run more than one EHR after years of acquisitions. We build the certified-metric layer on top of conformed silver-layer tables that hide the source-system differences, with documented mapping rules and quality SLAs per source.
Documented data definitions, named owners for clinical and financial metrics, quality SLAs on the entities the audit will examine, and operational alerting that proves data quality is being monitored. The audit is more about the operating model than the documents.
First useful phase (catalog + definitions for the top 20-50 most-used assets, plus steward assignments) lands in 90 to 180 days. Full enterprise rollout is multi-year. See [data governance consulting first 90 days](/insights/data-governance-consulting-first-90-days).
No. Documents without operational enforcement do not change behavior. The work is the operating model: named owners, defined SLAs, monitoring posture, and the change-management pattern that prevents drift. The documents follow from the operating model.
Time-to-trust for new analytical use cases, time-to-resolution for data quality incidents, and the metric-consistency rate across downstream consumers. We instrument these from day one of the engagement.
, and the data and AI work we ship is designed to hold up under their review.