Envision the future of data-driven digital health 

Improving the customer and patient experience, protecting data, and producing ROI from digital strategies are top concerns for today's health executives. As a trusted partner to government and commercial healthcare organizations across the globe, we innovate solutions that enable the transformation of the health ecosystem. We serve all sectors, including payersprovidersgovernment health agencies, and life sciences.

Schedule a 1:1 with a CGI expert

Attend our informative Lightning Sessions

Hear insights from our health industry experts at three highly informative sessions in the North Building (level 3, hall B) at booth 6833.

The Promise of Whole-Person Health Requires Equitable Data Access

Tuesday, April 18, 11:45 a.m.—12:05 p.m. CT

Kristen Leone

Director, Consulting IP

Building an Integrated Health Data Ecosystem for Better Patient Outcomes

Wednesday, April 19, 11:15 a.m.—11:35 a.m. CT

Brad Schoffstall

Vice-President, Health and Compliance Programs

Nathan Naylor

Director, Consulting Expert

The Rise of the Payvider

Thursday, April 20, 10:15 a.m.—10:35 a.m. CT

John George

Director, Health Strategy

Matthew Kristin

Director, Consulting Services

Explore our exclusive education sessions, open to all HIMSS registrants

Data Justice: Ethical Practices for Equitable Health

Tuesday, April 18 at 4:15 PM - 5:15 PM CT

South Building, Level 1 | S105A

This panel discussion will highlight evolving thought leadership in operationalizing data justice to accelerate diversity, equity and inclusion as representatives from major health systems and ecosystem providers describe their direct experiences.

Ryan Parker
Vice President of Diversity, Equity and Inclusion, CGI

Dr. Medell Briggs-Malonson, MD, MPH, MSHS
Chief of Health Equity, Diversity and Inclusion, UCLA Health

Kelly Brassil, PhD
Director of Medical Affairs and Research, Quest Diagnostics


Read related blog by Ryan Parker on our U.S. blog page.

Explaining the Unexplainable

Thursday, April 20 at 10:00 AM - 11:00 AM CT
South Building, Level 1 | S105A

This presentation will explore two current methods to explain machine learning models: LIME (local interpretable model-agnostic explanations) and SHAP (SHapley Additive exPlanations). 

Josh Jorgensen
Data Scientist, Health Industry, CGI

Read related blog by Josh Jorgensen on our U.S. blog page.

To learn more, connect with us at HIMSS23. We look forward to meeting you.