HIMSS serves as a pulse check on where healthcare IT priorities are heading. Each year brings new emphasis areas shaped by regulatory pressure, emerging technologies, and operational realities across health systems.
When HIMSS 2026 (March 9–12) convenes at the Venetian Convention & Expo Center in Las Vegas, our Henry Elliott team will be listening closely to conversations connecting interoperability maturity with AI trustworthiness. You’ll find us at Booth #623—next to InterSystems on the main aisle—where we’ll be discussing how healthcare organizations can align integration strategy, governance, and InterSystems platform optimization to support responsible AI initiatives.
Overview: Key Themes on Our Radar
- Clinical AI bias and trustworthiness
- The role of clinical data platforms in reducing AI variability
- Ongoing interoperability challenges across complex ecosystems
- Enterprise-scale integration strategies
- Executive innovation insights from cross-industry leaders
Each theme directly impacts organizations leveraging HealthShare, Health Connect, and IRIS for Health.
AI Trustworthiness and Clinical Data Platforms
Fit-for-Purpose Clinical AI
We will be paying close attention to InterSystems’ sessions, such as “AI We Can Trust: Ensuring Clinical AI Applications Are Fit for Purpose.” The discussion signals a broader industry focus: AI governance is moving from theory to operational accountability. Healthcare executives are asking:
- How is training data governed?
- Are outputs consistent across patient populations?
- What monitoring frameworks are in place post-deployment?
Architecture as a Governance Strategy
For organizations running InterSystems platforms, AI readiness starts with how the environment is built. HealthShare and IRIS for Health work best when patient data is centralized, terminology is consistent, and integration processes are clearly documented. Those structural decisions make analytics and AI tools easier to monitor and manage.
Our InterSystems consultants help healthcare IT teams strengthen these foundations—improving integration design, reinforcing data governance, and preparing platforms to support expanded AI use.
Interoperability Challenges Remain a Strategic Priority
Another InterSystems session, “Interoperability Makes the World Go Round,” reinforces a theme we expect to hear across the conference: interoperability maturity influences everything from data liquidity to AI performance. As organizations expand analytics and cross-network exchange, integration architecture moves further into the executive agenda.
We will be looking for practical insight into how leading organizations are addressing:
- Cross-organizational data standardization
- API governance and lifecycle management
- Event notification reliability
- Security and documentation oversight across distributed systems
Interoperability Strategy Maturity and AI Readiness
A related priority at HIMSS 2026 is how organizations are restructuring integration environments to manage growing data volume and system complexity.
As environments expand, adding one more interface often increases operational strain. Large health systems encounter:
- Governance gaps across distributed systems
- Limited visibility into interface dependencies
- Scaling constraints tied to one-off integrations
More mature InterSystems environments take a coordinated platform approach. IRIS for Health and Health Connect operate as structured integration platforms rather than collections of interfaces, improving oversight, scalability, and readiness for analytics and clinical AI initiatives.
How Can We Help?
At Henry Elliott & Company, we partner with healthcare organizations through focused consulting engagements that strengthen integration design, optimize InterSystems platforms, and build internal capability.
If discussions at HIMSS prompt a closer look at your interoperability or AI strategy, we welcome the opportunity to connect in Las Vegas at Booth #623, next to InterSystems on the main aisle, or schedule a follow-up conversation.
FAQ: HIMSS 2026, InterSystems, and AI Trustworthiness
1. Why are interoperability and AI being discussed together at HIMSS 2026?
AI systems rely on comprehensive, standardized, and well-governed data. Interoperability maturity directly affects AI reliability.
2. How does InterSystems support AI trustworthiness?
HealthShare and IRIS for Health centralize and normalize clinical data, creating structured environments that support governed analytics and oversight.
3. What interoperability challenges remain common in large health systems?
Data standardization gaps, API governance complexity, integration sprawl, and inconsistent transformation logic remain frequent concerns.
4. How can consulting support improve an InterSystems environment?
Experienced consultants help modernize integration architecture, support upgrades, rationalize workflows, and strengthen internal team capability.
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