Interoperability Is Now a Leadership Discipline—Not a Compliance Task
- Christian Rosado
- Mar 14
- 3 min read
By Christian Rosado, CTO & Managing Partner, Haipriori
The message coming from HIMSS’s strategic plans is blunt: interoperability has moved from “future state” slide decks to day-to-day operating reality. Policy momentum isn’t slowing—it's broadening. HIMSS highlights four pillars shaping 2025 decisions, with health equity explicitly embedded across them. That’s a strategy map, not a poster.
Why interoperability is now a leadership issue
According to the program materials, federal levers are aligning around this direction: telehealth flexibilities were extended in the latest CR, ONC’s remit has been reorganized under HHS to lead cross-department technology/data policy and act as interim AI lead, and FDA has issued draft guidance for AI-enabled medical devices alongside a framework for AI credibility in drug and biologic submissions. Together, those moves raise the bar on access, trust, and defensibility for any digital initiative.
Even the event’s cast underscores what’s expected of leaders: a Sequoia Project CEO (TEFCA interoperability), NIH’s All of Us Chief Data Officer (research-grade data at national scale), and the National HIT Collaborative for the Underserved (equity) on the same panel. That combination says the quiet part out loud: interoperability is now a team sport across policy, platforms, and populations.
What this means for operators, not just your PMO
Interoperability is a product requirement. If your member, patient, or provider experience depends on data you can’t access, understand, or share, it will underperform—clinically and commercially. The program’s policy pillars ask you to treat identity, APIs, events, and consent like core features, not integration chores.
AI only scales on governed rails. With the FDA and HHS turning up the heat on safe, explainable AI, any model that touches clinical or operational decisions must be permissioned, observable, and reversible. Your argument won’t be “it works”—it will be “it works, and here’s the evidence.”
Equity is no longer an optional scope. HIMSS calls equity a driver of all policy development. That means your data model, your UX, and your rollout plan must show who is included—and who’s left out—with measurable remediation.
A Haipriori blueprint: from mandate to operating model
Own the contracts. Publish gold-path APIs and event schemas for eligibility, orders, PA status, results, and encounters. Contracts make “information sharing” enforceable—and make audits faster because lineage is built in.
Design for the audit you know is coming. Role-scoped views, PHI minimization, masking, consent in context, and “narrative logs” (who, what, when, why) must live in both your UI and your services. FDA’s direction on AI credibility makes this non-negotiable.
Separate speed from risk. Use synthetic/de-identified data for discovery sprints; graduate winners through the same DevSecOps gates as core systems—tests, scanning, observability. You’ll move quickly and be inspection-ready.
Modernize without a big bang. Wrap legacy systems with clean integration contracts and standardize identity across experiences. Then iterate the journeys where policy pressure is highest: telehealth access, PA transparency, data release, and patient request fulfillment.
The CEO/CTO litmus test (30 minutes, live demos—no slides)
Provenance: show lineage for one quality or access KPI that the board sees.
Access: show how patients and authorized proxies retrieve and share their data—end-to-end.
Evidence: show one screen that explains a decision (model or rule): inputs, policy, output, and rollback.
Equity: show how you detect and address disparities in usage, latency, or outcomes across populations.
Swap-ability: show that you can replace a vendor/model without rewriting your safety story.
If those demos stall, you don’t have an interoperability strategy; you have an integration wish.
Why this matters now
Policy, procurement, and practice are converging. The HIMSS program frames 2025 around trusted AI, data interoperability, connected health, and equity by design—with real dates and agencies attached. The organizations that win will make trust their acceleration layer: contracts, controls, and evidence as product features that speed releases and calm audits.
If a neutral, hands-on working session would help, we’ll sit with your clinical, ops, and engineering leaders to map one high-value flow (e.g., PA transparency or patient data access) into contracts, controls, and a six-week governed rollout—aligned to the policy signals in this HIMSS program. Practical, brief, and ready to run.
About Haipriori:
Haipriori specializes in delivering custom software solutions that empower organizations to scale securely across highly regulated industries, including healthcare, life sciences, financial services, and national security. With a commitment to quality, agility, and transparency, we help businesses turn ideas into impact through scalable, enterprise-grade technology.
Let’s build what lasts.
Comments