1 * Why Now? HHS interoperability rules, CMS price-transparency, and shifting reimbursement models make data liquidity a board-level priority. Yet <20 % of healthcare organizations monetize data beyond internal analytics. 2 * VSI Six-Step Monetization Framework 1) Data Readiness Audit–PHI tagging, lineage, and quality scoring. 2) Value Hypothesis Canvas–map data domains to payer, provider, pharma, and tech-partner use-cases. 3) Trust & Governance Fabric–HIPAA-compliant de-identification, differential-privacy noise, zero-trust API gateway. 4) Marketplace Enablement–smart contracts and entitlement APIs; blockchain notarizes consent events. 5) Go-to-Market Bundles–risk-adjustment enrichment, real-world-evidence sets, SDOH insights. 6) Continuous Improvement Loop–usage telemetry feeds AI price elasticity. 3 * Tech Stack FHIR servers on Azure, Snowflake healthcare lakehouse, Databricks ML, and Gen
AI summarizers that auto-generate cohort narratives. 4 * Security & Compliance 42 CFR Part 2 segregation, GDPR/CCPA right-to-erasure workflows, HITRUST and NIST 800-53 aligned policies-as-code. 5 * KPIs & Financial Uplift / Data-commerce revenue +9 % Yo
Y Analytics infra cost -23 % via shared assets Clinical trial recruitment time -18 %. 6 * Customer Story Regional IDN launched a chronic-care data product: $32 M new annual revenue, 12-point quality-score lift. 7 * ESG & DEI Lens Population-health data improves equity; carbon-aware query planner cuts compute k
Wh 14 %. 8 * Implementation Wave 30-day readiness * 90-day MVP * 6-month marketplace rollout * 12-month Gen
AI enrichment. 9 *
Conclusion In healthcare, data that merely "exists" is cost; data that moves securely is currency. VSI turns compliance into cash flow.
