At HIMSS25, Health Samurai will host three sessions for healthcare leaders. These sessions will tackle specific challenges like healthcare data interoperability, AI in healthcare, enhancements in clinical trials, workflow optimization, and extending FHIR capabilities for multi-facility environments.
Join us at Booth #4667 for booth presentations, live demos and more. Each session features a 30-min presentation followed by a 15-min Q&A. This format allows attendees to engage with speakers and discuss their unique use cases.
Admission is free, and no prior registration is necessary.

AI-Powered Patient Matching: Accelerating Clinical Trials with FHIR
When: 4 March, Tuesday, 11:00 AM PT Where: Booth #4667
Speakers: Rebecca Zhou, Director of Implementation, Deep 6 AI Pavel Smirnov, CEO, Health Samurai
Discover how AI, NLP, and FHIR are solving challenges in patient matching and clinical trial recruitment. During the presentation, Deep 6 AI, a leader in precision research software, will tell how they leverage the Aidbox FHIR platform to power their AI pipeline for real-time patient matching. Learn how Deep6 AI has significantly sped up data loading and validation cycles, enhancing overall operational efficiency while achieving over 40M patient matches for clinical trials.
Unlocking the Power of FHIR: Streamlining Clinical Workflows with a Unified Data & Viewing Platform
When: 5 March, Wednesday, 12:00 PM PT Where: Booth #4667
Speakers: Oleg Bess, MD, Founder and CEO, 4medica Pavel Smirnov, CEO, Health Samurai
This session showcases the seamless integration of 4medica's cloud-based Clinical Viewer with Health Samurai's Aidbox FHIR-based clinical data repository. Discover how this powerful combination streamlines workflows, empowers clinicians with comprehensive patient insights, and accelerates care delivery by unlocking the full potential of FHIR data.
Extending FHIR: Navigating Complexity Across a Multi-Domain Healthcare Franchise
When: 6 March, Thursday, 11:00 AM PT Where: Booth #4667
Speakers: Orlando Osorio, Software Architect, Health Samurai Pavel Smirnov, CEO, Health Samurai
Building an EHR for a healthcare franchise like BodyLogicMD requires handling a broad set of complex workflows—spanning labs, medications, billing and finances, administrative processes, intricate access control rules, and multi-tenancy. In this live demo, see how we extended FHIR to accommodate these challenges while ensuring scalability and adaptability in a cloud-based SaaS solution. Learn how we leveraged Aidbox to implement custom workflows, optimize performance, and support a multi-tenant architecture tailored to the needs of a leader in bioidentical hormone therapy.

IPS Use Case: Cross-Border Care
When: 4 March, Tuesday, 4:00 PM PT Where: Booth #4667
Speakers: HIKE, Firely, Health Samurai, SMILE Digital Health, HealthLX, Trisotech
Explore how the International Patient Summary (IPS) facilitates seamless cross-border healthcare data exchange. Using FHIR and IPS profiles, witness how patient health records are securely accessed and shared across multiple countries—such as Australia, Canada, and the U.S.—ensuring continuity of care during emergencies or routine treatment.
Discover how SNOMED CT standardizes clinical terminology, enabling consistent interpretation of medical data across diverse health systems. See how SMART on FHIR streamlines workflows, from insurance verification to real-time clinical decision support, reducing errors and enhancing patient safety.
This use case highlights the power of IPS in creating a standards-driven, interoperable ecosystem that supports secure and efficient healthcare delivery across borders, ensuring patients receive timely and accurate care wherever they are.
Connect with Health Samurai at HIMSS25
Join our team at HIMSS25 to explore how Aidbox can support your FHIR projects:
- Launch FHIR-native healthcare solutions in weeks, not years
- Scale your data-driven services without growing your IT team
- Enter new markets without rebuilding your tech stack
- Turn patient data into insights that drive better care
- Support value-based care models with seamless data exchange