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
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
09:35 - 09:40
Q&A SESSION ON DATA AND AI IN HEALTHCARE
09:40 - 10:05
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
10:05 - 10:10
Q&A SESSION ON AI-DRIVEN STAFFING AND SAFETY MANAGEMENT
10:10 - 10:35
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
10:35 - 10:40
Q&A SESSION ON INVISIBLE AI IN CLINICAL WORKFLOWS
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?
| AnalytAIx
| Avania LLC
| b.well Connected Health
| Svexa
11:30 - 11:55
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
11:55 - 12:00
Q&A SESSION ON BRIDGING AI RESEARCH AND CLINICAL APPLICATION
12:00 - 12:25
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
12:25 - 12:30
Q&A SESSION ON TOKENIZATION AND PRIVACY-BY-DESIGN PRINCIPLES
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?
| Help AI Solutions
| Sky
| Joule
16:00 - 16:25
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
16:25 - 16:30
Q&A SESSION ON AI/ML FOR MULTIOMIC HEALTHCARE SOLUTIONS
16:30 - 16:55
THE WORKFLOW REBELLION: WHY 73% OF AI PILOTS FAIL—AND HOW THE 27% ARE REWRITING HEALTHCARE OPERATIONS
Sean Agnew
IuvoCare
- Diagnosing failure patterns by exposing workflow misalignment and lack of clinical input
- Redesigning operations around AI to reduce friction and improve clinician efficiency
- Empowering teams with co-designed metrics that measure trust, culture, and sustained adoption
16:55 - 17:00
Q&A SESSION ON FIXING BROKEN AI WORKFLOWS
17:00 - 17:25
FROM RISK SCORES TO RETENTION: REAL-WORLD AI THAT MOVES THE NEEDLE IN HEALTHCARE
Shawn Dastmalchi
Gratia Health
- Learning from a decade of building frontline AI to identify what truly drives adoption at scale
- Designing intuitive, explainable tools that motivate usage through incentives and micro-UX
- Personalizing workforce engagement with reinforcement learning that boosts retention and safety
- Strengthening clinical culture using generative AI that enhances recognition and morale system-wide
17:25 - 17:30
Q&A SESSION ON REAL-WORLD AI FOR ENGAGEMENT AND RETENTION
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
RESPONSIBLE AI IN HEALTHCARE: BUILDING TRUST THROUGH GOVERNANCE, RISK, AND HUMAN INSIGHT
Craig Coleman
Coleman Health Services
- Implementing ISO/IEC 42001 frameworks to ensure transparent and ethical AI operations
- Bridging clinicians and cybersecurity experts to create robust AI governance ecosystems
- Aligning innovation strategies with patient safety, data protection, and compliance standards
09:35 - 09:40
Q&A SESSION ON RESPONSIBLE HEALTHCARE AI PRACTICES
09:40 - 10:05
FROM DATA TO DECISIONS: HOW AI AND REAL-WORLD DATA ARE TRANSFORMING PATIENT OUTCOMES ACROSS U.S. HEALTHCARE SYSTEMS
Donghwa Kim
Databricks Inc.
- Unifying clinical, claims, sensor, and population data to power AI-driven predictions and insights
- Applying generative AI to automate documentation, summaries, communication, and workflow tasks
- Elevating patient outcomes with intelligent routing and decision support that reduce the burden on staff
- Ensuring safe, governed, production-ready AI through compliant architectures and responsible design
10:05 - 10:10
Q&A SESSION ON REAL-WORLD DATA AND GENERATIVE AI IN CARE
10:10 - 10:35
COLLECTIVE INTELLIGENCE IN HEALTHCARE: TURNING DATA INTO GLOBAL PRECISION MEDICINE
Jurgi Camblong
SOPHiA GENETICS
- Enabling secure cross-border collaboration through decentralized AI that connects institutions
- Linking vast genomic datasets to enhance clinical decisions and improve outcomes worldwide
- Scaling clinical AI by turning siloed data into shared intelligence adopted across real settings
10:35 - 10:40
Q&A SESSION ON GLOBAL PRECISION AI NETWORKS
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?
- How can MedTech firms meet FDA–CMS expectations, leverage real-world data, and sustainably monetize AI for Medicare and Medicaid?
- How should revenue-cycle AI demonstrate provable financial ROI, support reimbursement workflows, and scale sustainably across providers and
- What evidence and ROI metrics should justify AI reimbursement, and how must payment models evolve for high-value adoption?
| Aimedica
| Science Center
| BioQuant Labs
| Notable Systems
| Swedish American Chamber of Commerce USA
11:30 - 11:55
FROM PROTOTYPES TO PRODUCTION
Salim Afshar
Reveal HealthTech
- Deriving real-world insights from applied AI implementations that reveal what drives adoption
- Assessing which healthcare value-chain use cases are truly suited for AI-enabled solutions
- Guiding organizations from experimentation to production by aligning impact with feasibility
11:55 - 12:00
Q&A SESSION ON MOVING HEALTHCARE AI INTO PRODUCTION
12:00 - 12:25
LEVELING UP IN THE AGE OF AI: STRATEGIES FOR AUGMENTING STAFF AND RETOOLING MEDICAL PRACTICE
Ryan Leonard Pei
RLP
- Understanding how healthcare leaders can guide AI adoption while fostering workforce trust
- Streamlining provider and payer workflows by integrating AI across the revenue cycle
- Empowering staff with training to confidently adopt and work alongside AI technologies
12:25 - 12:30
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
12:30 - 12:55
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
12:55 - 13:00
Q&A SESSION ON GEN AI IN HEALTHCARE OPERATIONS
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 can labs integrate AI smoothly while addressing costs, evolving data, conflicting results, incident response, and accountability?
| Epiveris
| Enigma Ventures
| Harvard Alumni in Healthcare
| MiraGenetix
14:30 - 14:55
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
14:55 - 15:00
Q&A SESSION ON GENERATIVE AI FOR MEDICAL DEVICES
15:00 - 15:25
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
15:25 - 15:30
Q&A SESSION ON MULTIMODAL AI IN MEDICAL DIAGNOSTICS
15:30 - 15:55
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
15:55 - 16:00
Q&A SESSION ON REGULATORY PATHWAYS FOR TRUSTED HEALTHCARE AI
16:00 - 16:25
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
16:25 - 16:30
Q&A SESSION ON BUILDING SAFE HOSPITAL AI GOVERNANCE
16:30 - 16:45
FEEDBACK & RAFFLE DRAW
16:45 - 17:00
CLOSING REMARKS
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