Highlights of the Program
2 days business program:
Learn from real-world case studies by industry leaders.
SHOWCASING INNOVATION:
Discover the latest technology and techniques from across the industry.
leaders talk:
Hear from top-level experts about how to stay ahead in a fast-changing industry.
MULTIPLE STREAMS:
A business program that is multi-disciplinary, giving you a broad view of the industry.
SMART TECHNOLOGIES:
Explore the latest smart and AI-driven solutions, and see how they can be used in your business.
roundtable discussion:
Join talks with industry peers. Share ideas, make connections, and find new partners.
Program
Day 1 :
WEDNESDAY, APRIL 8, 2026
08:00 - 09:00
REGISTRATION AND MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
THE DEATH OF THE INTERFACE: WHY THE FUTURE OF AI IN HEALTHCARE IS INVISIBLE
Saamer Siddiqi
LIVEMED Telehealth
- Envisioning AI that fades into the workflow and supports clinicians without visible interfaces
- Listening through quiet intelligence that understands context and acts seamlessly in the background
- Orchestrating automated processes that enhance patient care without interrupting clinical focus
09:35 - 09:40
Q&A SESSION ON INVISIBLE AI IN CLINICAL WORKFLOWS
09:40 - 10:05
HARNESS THE POWER OF DATA AND AI IN HEALTHCARE AND LIFE SCIENCES
Naiteek Sangani
Microsoft
- Transitioning research to products using multimodal healthcare AI models for innovation
- Positioning generative AI as a transformative force for patients and the health workforce
- Highlighting Microsoft's responsible AI strategy to empower partners via cloud solutions
10:05 - 10:10
Q&A SESSION ON DATA AND AI IN HEALTHCARE
10:10 - 10:35
TEN REASONS WHY AI IS NOT ADOPTED IN HEALTHCARE: AND HOW TO RECONCILE THESE CHALLENGES
Anthony Chang
Rady Children’s Health
- Identifying systemic, cultural, and operational barriers that hinder AI adoption in healthcare settings
- Exploring practical solutions to overcome these challenges and accelerate meaningful AI integration
- Assessing the current landscape of AI implementation amid evolving healthcare policy and economic pressures
10:35 - 10:40
Q&A SESSION ON AI ADOPTION BARRIERS IN HEALTHCARE
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON AI-DRIVEN TELEMEDICINE: PERSONALIZING VIRTUAL HEALTHCARE FOR BETTER PATIENT OUTCOMES
- How do you establish trust in virtual care while using AI to deliver personalized services?
- To what extent do payers value remotely collected patient outcome data in telemedicine?
- How can interoperable data, AI agents, and unified SDK frameworks strengthen accuracy and personalization across telemedicine ecosystems?
- How can telemedicine become proactive and physiology-based by personalizing massive patient data through clinically meaningful AI foundations?
- What interoperable foundations enable proactive, whole-human telemedicine that balances dynamic personalization with AI-augmented clinical judgment?
| AnalytAIx
| Avania LLC
| b.well Connected Health
| Svexa
| Merge World
11:30 - 11:55
TOKENIZATION AND PRIVACY-BY-DESIGN IN HEALTHCARE DATA SECURITY
Jiten Sardana
Amazon
- Protecting ePHI amid rising regulatory pressure and evolving cybersecurity threats
- Substituting sensitive data with secure tokens to reduce exposure across cloud workflows
- Embedding privacy-by-design principles across data orchestration and communication pipelines
11:55 - 12:00
Q&A SESSION ON TOKENIZATION AND PRIVACY-BY-DESIGN PRINCIPLES
12:00 - 12:25
CURRENT GAP BETWEEN AI RESEARCH AND ITS REAL-WORLD APPLICATION IN CLINICAL SETTINGS
Jerrold Jackson
Mayo Clinic
- Exploring the role of platforms in connecting researchers, clinicians, and healthcare organizations
- Advocating for transparency, responsible AI, and seamless technology integration in clinical workflows
- Highlighting strategies to involve end-users in the AI development and implementation process
12:25 - 12:30
Q&A SESSION ON BRIDGING AI RESEARCH AND CLINICAL APPLICATION
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE HEALTH AI SUMMIT EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON FROM WEARABLES TO PREDICTIVE CARE: THE ROLE OF AI IN REVOLUTIONIZING PATIENT MONITORING
- What are the top AI applications in predictive care, and how have they improved patient outcomes?
- What are the most promising AI innovations currently revolutionizing patient monitoring?
- What is the reimbursement landscape faced by AI-technologies used for patient monitoring?
- How can healthcare systems ensure wearable data accuracy, integration into EHRs, and privacy while enabling long-term personalized care?
- How can AI-enhanced wearable data identify neurological red flags and guide clinicians in interpreting early predictive signals?
| Homewatch CareGivers
| Rackspace Technology
| Avania LLC
| Governors State University
| Independent
14:00 - 14:25
AI-CENTERED PRE-SCREENING HUBS: THE NEXT FRONTIER OF EQUITABLE AND EXECUTABLE CLINICAL RESEARCH
Arturo Loaiza-Bonilla
Massive Bio
- Leveraging hybrid reasoning and oncology knowledge graphs for real-time trial matching
- Centralizing patient consent, EMR, and genomics into unified AI-enabled screening workflows
- Democratizing access to trials via SYNERGY-AI using federated learning and automation
14:25 - 14:30
Q&A SESSION ON EQUITABLE AND SCALABLE CLINICAL TRIAL ENABLEMENT
14:30 - 14:55
HOW AI CAN HELP SOLVE TODAY’S HEALTHCARE CRISIS
Nassib Chamoun
Health Data Analytics Institute
- Addressing workforce shortages and rising healthcare costs through AI-driven efficiency
- Leveraging predictive analytics and generative AI to enable proactive, data-informed care
- Demonstrating improved patient and economic outcomes from real-world health system pilots
14:55 - 15:00
Q&A SESSION ON AI SOLUTIONS FOR HEALTHCARE EFFICIENCY
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 16:00
PANEL DISCUSSION ON DEPLOYING GENERATIVE AI ACROSS CLINICAL AND VIRTUAL CARE
- How can generative AI streamline clinician workflows while integrating safely across EHR, telehealth, and population-health systems?
- How can AI transform unstructured clinical data into accurate, secure, auditable assessments that enhance trust and throughput?
- How can generative AI enable early risk detection and guide individuals toward healthier habits before conditions require care?
- How can generative AI balance clinical judgment, trust, safety, and measurable ROI across formulary, regulatory, and product workflows?
- What barriers limit generative AI deployment, how is safety ensured, and what defines its next evolution in clinical care?
| Help AI Solutions
| Sky
| Joule
| Cooperative Benefits Group, LLC
| Merge World
16:00 - 16:25
BAGGING THE ‘INVISIBLE ELEPHANT’ – MEETING THE UNMET AI/RPA NEEDS OF AMBULATORY CARE!
Alan Wagner
Wagner Kapoor Institute
- Highlighting how ambulatory care workflows are overlooked by hospital-centric AI strategies
- Applying AI-driven RPA and predictive analytics to eliminate operational pain points at scale
- Operationalizing scalable outpatient AI/RPA programs with clear timelines, teams, and governance
16:25 - 16:30
Q&A SESSION ON AI AND RPA FOR AMBULATORY CARE OPERATIONS
16:30 - 16:55
THE RISE OF PATHWAY-BASED AI/ML TOOLS FOR MULTIOMIC DIAGNOSIS AND DRUG TARGETING
Eric Gieson
The Conafay Group
- Showcasing AI/ML tools for diagnostics, drug discovery, and multi-omic dataset analysis
- Highlighting AI applications in early cancer diagnosis and therapy targeting using epigenetic data
- Predicting future innovations driven by pathway-based multiomic analysis in healthcare
16:55 - 17:00
Q&A SESSION ON AI/ML FOR MULTIOMIC HEALTHCARE SOLUTIONS
17:00 - 17:25
ARCHITECTING REGULATORY-GRADE AI AGENTS: FROM MULTIMODAL CHAOS TO OMOP GOLD
David Talby
John Snow Labs
- Establishing multimodal data integration as essential for accurate, regulatory-grade clinical AI
- Transforming multimodal inputs into audit-ready OMOP Gold assets with full traceability
- Deploying regulatory-grade AI agents for trials, care gaps, and large-scale cohort generation
17:25 - 17:30
Q&A SESSION ON BUILDING REGULATORY-GRADE AI AGENTS
17:30 - 18:30
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, APRIL 9, 2026
08:30 - 09:00
MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
HOW AI-DRIVEN ANALYTICS ARE TRANSFORMING SURGICAL MARGINS, COST MANAGEMENT, AND OPERATIONAL EFFICIENCY
Porter Jones
Avant-garde Health
- Benchmarking surgical cost variation using AI analytics to expose margin and efficiency drivers
- Optimizing implant and supply spend through AI-guided standardization and vendor alignment
- Predicting throughput bottlenecks with perioperative data to shorten stays and improve OR flow
09:35 - 09:40
Q&A SESSION ON AI ANALYTICS FOR SURGICAL VALUE AND MARGINS
09:40 - 10:05
THE EVOLVING ROLE OF THE BUSINESS ANALYST IN AI-DRIVEN HEALTHCARE
Sai Teja
Health Care Service Corporation
- Repositioning business analysts as strategic enablers aligning AI initiatives with clinical workflows
- Translating AI capabilities into compliant, scalable solutions that address cost and access challenges
- Embedding governance and outcome metrics to ensure responsible automation and measurable impact
10:05 - 10:10
Q&A SESSION ON BUSINESS ANALYSIS IN AI HEALTHCARE TRANSFORMATION
10:10 - 10:35
NEXT GENERATION SEQUENCING AND AI: THE NEW FRONTIER OF PREVENTATIVE CARE
Inder Saini
Dayhoff Technologies Inc.
- Benchmarking AMD GPU-accelerated NGS pipelines that cut genomics processing from hours to seconds
- Scaling mainstream sequencing access through a simple platform built for research and partner labs
Jacob Shultis
Dayhoff Technologies Inc.
- Integrating genomics and microbiome datasets to strengthen wellness and preventative care modeling
- Activating earlier interventions with insurers to reduce downstream costs before symptoms emerge
10:35 - 10:40
Q&A SESSION ON AI-ACCELERATED GENOMICS FOR PREVENTATIVE CARE
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON PAYING FOR HEALTH AI: EVIDENCE-BASED COVERAGE, REIMBURSEMENT, AND ROI
- How can AI improve documentation, risk capture, and incentive alignment to deliver scalable, system-wide financial ROI?
- What evidence, billing pathways, and ROI frameworks move AI from technical accuracy to payer reimbursement and financial adoption?
- What minimum evidence, value capture models, and payment structures will drive scalable reimbursement for AI-enabled services?
- How should reimbursement differentiate automation AI from clinical decision AI, and which models deliver the strongest payer ROI?
- How can health systems shift from AI pilots to enterprise revenue infrastructure that drives proactive, autonomous financial performance?
| Aimedica
| Science Center
| Commure, Inc.
| Wellness Connection
| Ensemble
11:30 - 11:55
GEN AI IN PROVIDER AND PAYER OPERATIONS: IMPACTS AND CHALLENGES
Greg Caressi
Frost & Sullivan
- Examining Gen AI's growing role in improving efficiency across healthcare operations
- Reviewing Frost & Sullivan’s analysis of impactful Gen AI use cases for providers and payers
- Exploring applications in drug discovery, customer service, and operational advancements
11:55 - 12:00
Q&A SESSION ON GEN AI IN HEALTHCARE OPERATIONS
12:00 - 12:25
AI SCREENING FOR COGNITIVE HEALTH IN THE ELDERLY: REAL-WORLD IMPACT AND ITS SIGNIFICANCE FOR SOLO AGERS AND RURAL COMMUNITIES
Evan Lee
Seven Point One Inc.
- Uncovering large-scale dementia risk via deployed voice-based AI cognitive assessments
- Extending cognitive assessments through social-worker outreach and private call-in access
- Reaching solo agers and rural residents previously excluded from traditional care pathways
12:25 - 12:30
Q&A SESSION ON VOICE-BASED AI COGNITIVE ASSESSMENTS
12:30 - 12:55
LEVERAGING AI IN ENTERPRISE STAFFING POOL TO ADVANCE TJC 2026 NATIONAL PATIENT SAFETY GOALS
Rosine Castro
Emory Healthcare
- Optimizing workforce allocation with predictive models to balance skill mix and demand
- Integrating AI dashboards to track fatigue, overtime, and adherence to trigger interventions
- Enhancing decision support to maintain compliance with TJC 2026 staffing safety goals
12:55 - 13:00
Q&A SESSION ON AI-DRIVEN STAFFING AND SAFETY MANAGEMENT
13:00 - 14:00
NETWORKING LUNCH AND VISITING THE HEALTH AI SUMMIT EXHIBITION
14:00 - 14:30
PANEL DISCUSSION ON GOVERNANCE AND DATA READINESS FOR MULTIMODAL CLINICAL AI
- How can organizations improve data quality, standardization, and continuous compliance to support scalable multimodal AI governance?
- How can health systems prepare representative datasets, integrate multimodal AI safely, and measure effectiveness, fairness, and compliance?
- How should clinicians evaluate AI trustworthiness, identify near-term safety uses, and implement structural changes for responsible scale?
- How should consent, liability, data quality, and interoperability be governed as multimodal AI links EHR, imaging, and wearables?
- Are healthcare systems ready for AI given legacy infrastructure, provider preparedness, and escalating cybersecurity risks?
| Epiveris
| Enigma Ventures
| Harvard Alumni in Healthcare
| Tier 3 INC
| Progressive Care Medical Group
14:30 - 14:55
PRACTICAL AI GOVERNANCE IN HOSPITALS: REGULATIONS, ETHICS, AND GUARDRAILS
Bob Berbeco
Mahaska Health
- Clarifying shifting regulatory landscapes and comparing EU high-risk rules with U.S. norms
- Establishing balanced governance models that secure PHI, reduce bias, and guide safe AI use
- Operationalizing ethics through validation loops, staff inclusion, and recurring oversight
14:55 - 15:00
Q&A SESSION ON BUILDING SAFE HOSPITAL AI GOVERNANCE
15:00 - 15:25
FROM AI POLICY TO REAL-WORLD PRACTICE: GOVERNANCE, REGULATION, AND THE PATH TO TRUST
Elizabeth Bergey
Rad AI
- Identifying why AI pilots stall, including weak governance, unclear ownership, and model drift
- Interpreting new FDA, CMS, and state policies to guide continuous oversight requirements
Demetri Giannikopoulos
Rad AI
- Implementing procurement guardrails, lifecycle monitoring, and ethical review checkpoints
- Structuring governance that earns clinician trust while maintaining safety and enabling innovation
15:25 - 15:30
Q&A SESSION ON REGULATORY PATHWAYS FOR TRUSTED HEALTHCARE AI
15:30 - 15:55
MULTIMODAL AI FOR IMPROVED PERFORMANCE & EXPLAINABILITY IN HEALTHCARE
Farzad Khalvati
SickKids
- Defining multimodal learning and its role in enhancing performance in healthcare AI systems
- Comparing supervised and unsupervised methods for improved explainability in medical diagnostics
- Showcasing case studies on lung disease and pediatric tumor diagnosis using multimodal AI tools
15:55 - 16:00
Q&A SESSION ON MULTIMODAL AI IN MEDICAL DIAGNOSTICS
16:00 - 16:25
GENERATIVE AI IN A BOX – NVIDIA HOLOSCAN FOR MEDICAL DEVICE DEVELOPMENT
Joerg Schwarz
Infor
- Demonstrating NVIDIA Holoscan’s closed Rules-as-Code system for safe generative AI use
- Highlighting real-time clinical integration via Infor Cloverleaf for secure AI operations
- Showcasing generative AI applications, like surgery robots, without risking PHI exposure
16:25 - 16:30
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
16:30 - 16:45
FEEDBACK & RAFFLE DRAW
16:45 - 17:00
CLOSING REMARKS
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