Tiffany Veinot, MLS, PhD is Joan C. Durrance Collegiate Professor at the University of Michigan (U-M)’s School of Information. She is also a Full Professor at the Schools of Public Health, and Medicine at U-M, and was a Visiting Professor at Oxford University’s Nuffield Department of Primary Care Health Sciences in 2023-2024. Previously, she was Associate Dean for Faculty at the U-M School of Information. 

Veinot's research focuses on “community health informatics,” or the use of information systems and services to improve the health of marginalized populations and reduce health disparities. 

She has over 100 published, peer-reviewed papers, and her published research has garnered 18 honors and awards in the health informatics, human-computer interaction, and information science fields. Veinot has held over $15.5 million in extramural research funding as Principal Investigator or Co-Principal Investigator, with funding from agencies such as the Patient-Centered Outcomes Research Institute (PCORI), Centers for Disease Control and Prevention (CDC) and National Science Foundation (NSF). Veinot has also served as co-Investigator for research funding totaling over $6.1 million. 

She is currently PI of a national cluster-randomized controlled trial investigating interventions to prevent complications of hemodialysis care that occur disproportionately among women. She is also co-PI of the CDC’s national Kidney Disease Surveillance System, and is leading efforts to incorporate data and analyses concerning the social and environmental determinants of health into the system. 

Veinot is a founding faculty member and former Director of the Masters of Health Informatics (MHI) Program at the University of Michigan, which was launched in 2012. She has also taught three courses in health informatics, as well as a PhD-level class in qualitative methods. 

She is an Associate Editor of the Journal of the American Medical Informatics Association (JAMIA) and is on the Editorial Boards of the International Journal of Medical Informatics, and the Journal of the Association of Information Science and Technology.

 Veinot has also taken leadership in building scholarly communities for health equity-oriented research in health informatics and human-computer interaction. For example, she guest edited a special double issue of JAMIA on “Health Informatics and Health Equity: Improving our reach and Impact.” Veinot also co-chaired a national Computing Research Association Research agenda-setting workshop on “Sociotechnical Interventions for Health Disparity Reduction,” and co-chaired the Workgroup on Interactive Systems in Healthcare (WISH) Symposium at the annual American Medical Informatics Association (AMIA) conference in 2020. This WISH Symposium was the first to concentrate on sharing health equity-oriented informatics and human-computer interaction research. She is also the Founding Chair of the American Medical Informatics Association’s Health and Healthcare Equity Working Group. 

Veinot was elected to the American College of Medical Informatics in 2022 and received a British Academy Fellowship in 2023-2024.

CV

Pronouns

she/her/hers

Areas of Interest

How can health information technologies be designed and implemented to reduce health disparities and improve the health of marginalized groups? Veinot’s research pursues this central question through an approach which she has termed “community health informatics.” Community health informatics focuses on the use of information systems and services to improve the health of marginalized populations and reduce health disparities. Increasingly, this line of work advances creation and evaluation of meso-level interventions that aim to influence the social conditions from which health disparities emerge.

As Veinot has argued, meso-level interventions are important for health informatics due to the risk of “intervention-generated inequality” (IGI). The argument holds that interventions that rely upon individual effort, behavior and choice among marginalized people pose particular risks of widening inequality due to the disproportionate barriers to behavior change such people face. Thus, Veinot’s research focuses on informing, designing and implementing meso-level and multi-level interventions (those that operate at both individual and meso levels). This work supports a goal of generating new health informatics intervention models across the three different types of meso-level health determinants of health: (1) social and community networks; (2) living and working conditions, and (3) the health system. To facilitate this, Veinot’s work has focused on the following four main objectives:

• Objective One: Identify appropriate targets for community health informatics interventions focused on social and community networks.
• Objective Two: Develop novel informatics measures and models to assist communities in understanding and improving local living conditions.
• Objective Three: Design and implement informatics interventions to facilitate health system action on health and healthcare disparities.
• Objective Four: Develop methods to facilitate the contributions of diverse groups to health informatics research.

Veinot’s research in support of these objectives is primarily published in the fields of health informatics, information science, human-computer interaction, and public health.

Honors and Awards

Center for Healthcare Research and Transformation (CHRT) Policy Fellowship, 2025 
Visiting Fellowships Programme, British Academy (UK), 2023 
Elected Fellow, American College of Medical Informatics (ACMI), 2022 
Big Ten Academic Alliance, Academic Leadership Fellowship, 2021-2022 
Excellence in Peer Review Award, Journal of the American Medical Informatics Association, 2019, 2023 
Michael D. Cohen Service Award, University of Michigan School of Information, 2018 
Staff Achievement Award, Canadian AIDS Treatment Information Exchange, 2004 
Who’s Who of Canadian Women, biographee, 1996-present

Education

BA (University of Toronto), MLS (University of Toronto), PhD (University of Western Ontario)