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CHITA 2023

The Conference on Health IT and Analytics (CHITA)

The 13th Annual Conference on Health IT and Analytics (CHITA 2023), took place from May 4-6, 2023 in Washington, D.C. We thank you for your engagement with CHITA 2023, for sharing your insights, creating deep and meaningful connections, and shaping the future of health IT and analytics.

The Conference on Health IT and Analytics is an annual health IT and analytics research summit, including a doctoral consortium that each year gathers prominent scholars from more than 40 research institutes, as well as leading policy and practitioner attendees, in a vibrant setting to discuss opportunities and challenges in the design, implementation and management of health information technology and analytics. Its goal is to deepen our understanding of strategy, policy, and systems fostering health IT and analytics effective use, and to stimulate new ideas with both policy and business implications.

This forum provides a productive venue to facilitate collaboration among academia, government, and industry.

Convened by the Center for Digital Health and Artificial Intelligence, support for CHITA is provided by the Johns Hopkins Carey Business School, the University of Michigan School of Public Health, and the U.S. Agency for Healthcare Research and Quality.

Keynote speakers

Federated Analytics Panel Speakers:

  • Heiko Ludwig

    Principal Research Staff Member and Senior Manager of the AI Platforms department, IBM

  • Ruoxuan Xiong

    Assistant Professor, Department of Quantitative Theory and Methods, Emory University

  • Tianxi Cai

    John Rock Professor of Population and Translational Data Sciences & Professor of Biomedical Informatics, Harvard Medical School

AI Bias & Fairness Panel

  • Adler Archer

    Assistant Research Scientist, Biomedical Engineering & Medicine, Johns Hopkins University; Adjunct Instructor Appointment, Johns Hopkins Carey Business School

  • Chhavi Chauhan

    Director of Scientific Outreach, American Society for Investigative Pathology; Director, Continuing Medical Education (CME) Program, Journal of Molecular Diagnostics; Leader, Women in AI Ethics Collective; Program Manager, Women in AI Accelerate and Raise Programs

  • Travis Hoppe

    Associate Director for Data Science and Analytics, Centers for Disease Control and Prevention, National Center for Health Statistics (CDC/NCHS/OD)

  • Tamra Tyree Moore

    Vice President, Corporate Counsel, Global Data, Privacy, and AI, Prudential Financial