
Health Systems: Data Science, Design, and Implementation Science
About Health Systems: Data Science, Design, and Implementation Science Research
Faculty in this signature area advance knowledge regarding health systems and services to improve health and care delivery outcomes across organizational and public health contexts. Their research transforms health systems through the integration of data science and informatics, human-centered design, and implementation science, with a shared commitment to innovation and health equity.
Representative areas of inquiry include:
- Conducting health services research that drives care delivery, policy, and equitable system transformation;
- Using and developing conceptual models to analyze complex systems and guide improvements to care delivery and public health services;
- Designing and implementing innovative solutions that are human-centered and enhance patient experience, population health, and workforce well-being;
- Applying informatics and data-driven approaches to optimize health, care quality, decision-making, and system performance;
- Translating evidence into practice through implementation science and user-engaged methods.
Explore faculty profiles to learn more about specific research interests and studies in this area.
Signature Research Areas
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Aging Care and Outcomes for Older Adults
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Community Engagement and Partnerships
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Health and Well-Being of Children and Families
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Health Equity and Social Justice
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Health Systems: Data Science, Design, and Implementation Science
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Mental, Psychosocial, and Behavioral Health and Well-Being
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Symptom Science and Supportive Care
More About Research on Health Systems: Data Science, Design, and Implementation Science
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Resources from Researchers
The Institute for Clinical and Translational Research (ICTR) helps researchers advance their projects—and their careers—with tailored services, training programs, and funding. ICTR works to improve the health of Wisconsin by making the research process smoother, faster, and more impactful.
From AI and cybersecurity to data privacy and information ethics, UW–Madison’s newly launched College of Computing & Artificial Intelligence (CAI) brings together expertise across computing, data, and information to advance discovery, tackle complex challenges, and shape what comes next.
The Department of Industrial Engineering can lead to the world of data science, finance, health care, public service, or the manufacturing floor. Engineering skills are used for data-driven decision making and applying the tools towards the improvement of goods and services in any field.
The Data Science Institute collaborates with on- and off-campus researchers, industry, and community partners to solve problems and speed the pace of discovery.



