The Intersystems Global Summit 2025 brings together healthtech leaders, clinicians, and innovators to explore how integrated data and interoperability can transform care delivery. This year’s summit emphasizes practical pathways for adopting connected solutions that improve outcomes across complex care settings.
Through live demonstrations, executive dialogues, and solution labs, attendees gain actionable insight into building scalable, standards-based infrastructures. The following sections highlight thematic pillars, showcase a detailed feature comparison, and address real-world questions from the community.
| Solution | Core Platform | Key Standards | Target Deployment |
|---|---|---|---|
| HealthShare Connect | UnifiedHealth Operating Engine | HL7 FHIR, DICOM, IHE | Acute, Ambulatory, Cloud |
| TrakCare Enterprise | UnifiedHealth Application Framework | HL7 v2, FHIR, CDA | Hospitals, Labs, Public Health |
| OpenExchange Ecosystem | Interoperability Services Bus | FHIR, XDS, OAuth 2.0 | Health Information Exchanges |
| ClinicalBERT AI Insights | AI/ML Model Hub on InterSystems IRIS | LOINC, SNOMED CT, FHIR | Decision Support, Research |
| ICA Reference Architecture | Reference Implementation Kit | FHIR, Fast Healthcare Interoperability Resources | Guides, Templates, Evaluations |
Health Data Integration at Scale
At the core of the summit agenda is Health Data Integration at Scale, where speakers detail how modern data platforms handle velocity, variety, and volume across provider networks. Sessions focus on architecture patterns that balance high-throughput ingestion with strong governance and security. Participants see demonstrations of real-time interoperability that link electronic health records, wearables, and public health feeds into a coherent longitudinal record.
Clinical and Operational Outcomes
Improving Care Pathways
Clinical and Operational Outcomes programming explores how interoperability drives measurable improvements in length of stay, readmission rates, and patient experience. Leaders share case studies where standardized messaging and context-rich data helped teams streamline workflows and reduce manual reconciliation. The discussions link technical choices to financial and quality metrics that matter to executive sponsors.
Operational Efficiency Levers
Operational Efficiency Levers highlight scheduling, bed management, and supply chain scenarios where tighter data integration reduces waste. Presentations quantify automation gains, showing how interface engines, canonical models, and API-led access translate into hours saved per week. This focus on measurable efficiency helps organizations justify investments in integrated health infrastructure.
AI and Advanced Analytics in Healthcare
AI and Advanced Analytics in Healthcare examine how curated, interoperable data unlocks the potential of machine learning and clinical decision support. Speakers walk through model lifecycle management, from exploratory analysis in notebooks to governed deployment in production environments. The summit highlights responsible AI practices, including traceability, bias evaluation, and alignment with clinical safety standards.
Partnerships and Ecosystem Enablement
Partnerships and Ecosystem Enablement sessions spotlight how health systems, technology vendors, and startups co-create solutions that extend the value of core platforms. Discussions cover commercial, academic, and community collaborations that accelerate innovation while maintaining interoperability guardrails. Attendees learn how to engage with an open ecosystem that rewards shared standards and transparent roadmaps.
Future-Ready Health Infrastructure Roadmap
Building a Future-Ready Health Infrastructure Roadmap requires aligning technology investments with clinical priorities, policy expectations, and operational realities. Leaders who foster open standards, robust governance, and continuous evaluation will position their organizations to adapt quickly as interoperability demands evolve. The summit guides attendees through practical steps to advance digital maturity with confidence and clarity.
- Define a canonical data model that reflects your enterprise and partner views.
- Implement a scalable interface engine with monitored service level agreements.
- Adopt FHIR-based APIs for new projects and incremental modernization.
- Establish governance for data quality, privacy, and security across integrations.
- Create cross-functional teams that include clinicians, informaticists, and engineers.
- Measure outcomes such as care continuity, time-to-clinical-decision, and operational cost per encounter.
- Invest in upskilling and certification programs to build internal platform expertise.
FAQ
Reader questions
What specific interoperability standards will be demonstrated at the summit?
The event will showcase live implementations using HL7 FHIR, DICOM, IHE, and emerging Fast Healthcare Interoperability Resources profiles, with hands-on sessions mapping legacy v2 messages to FHIR resources.
How can health system leaders measure return on investment for integrated data initiatives?
Session presenters will share frameworks that link interoperability milestones to reductions in duplicate testing, improvements in care gap closure, and realized savings from optimized workflows and avoided operational friction.
Are there tailored tracks for clinicians, informaticists, and technical teams?
Yes, the agenda includes dedicated tracks for clinicians focused on workflow and outcomes, for informaticists emphasizing standards and data modeling, and for technical teams highlighting implementation patterns and performance tuning.
What security and privacy controls are covered in the integration strategy sessions?
Integration strategy sessions detail consent management, audit logging, data minimization techniques, and secure API gateways, aligning implementations with regional regulations and enterprise risk policies.