

Register Your Interest — From Code to Clinic: Leveraging AI to Help Deliver Better Patient Outcomes Across the Care Continuum
Information
NOTE: Only qualified HIMSS26 attendees who are logged in to their HIMSS26 Account will be able to register their interest for this session.
The exponential growth of health data presents a monumental challenge and an unprecedented opportunity. In oncology, harnessing this data effectively is key to improving patient survival and quality of life. Artificial intelligence is the engine that can turn this data into actionable insights, but how do we move from algorithms to tangible clinical impact?
This session explores Roche's comprehensive "3P" AI strategy:
Predict: Identifying disease earlier and more accurately.
Perform: Optimizing clinical workflows and enabling faster, more confident decisions.
Personalize: Tailoring the right therapy to the right patient at the right time.
Join a Roche leader for a moderated discussion with a panel of frontline clinicians who are actively using these AI-powered solutions. Following the lung cancer care pathway as a framework, our panelists will share concrete example: from leveraging novel algorithms for early disease detection (Predict), to driving efficiency in multi-disciplinary tumor boards discussion (Perform), to be able to connect advanced tissue diagnostics, digital pathology, and genomic biomarkers (FMI) to guide targeted, personalized therapies (Personalize).
Speakers:
1) Roche moderator who also set the stage with the 3 Ps AI narrative: Lee
Lehman-Becker, Global Head – Healthcare Insights Customer Area, Roche
Information Solutions
2) PREDICT: Pathologist speaking about companion dx and genome sequencing:
Dr. Peter McCaffrey, Chief AI Officer, UTMB Galveston
3) PERFORM: Oncologist speaking about clinical workflows and molecular tumor boards: Dr. Ernie Lo, Medical Director – Oncology, Roche Information Solutions
4) PERSONALIZE: Dr. Peter McCaffrey, Chief AI Officer, UTMB Galveston
- Please note: This session will not be raffling off a $100 gift card



