Zach Landis-Lewis, PhD
Primary Appointment
Associate Professor
Medical School
Learning Health Sciences
he/him/his
Precision feedback, data-driven healthcare improvement, technical infrastructure for learning health systems
Zach Landis-Lewis's global health focus centers on the secondary use of clinical and health-related data to provide feedback to healthcare professionals, aiming to enhance healthcare delivery and improve patient health outcomes. His interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Landis-Lewis's research investigates the effectiveness of precision feedback, primarily through software applications like SCAFFOLD deployed for large-scale interventions. He aims to support global health researchers in implementing and evaluating precision feedback systems as technical infrastructure for learning health systems in low-resource settings.
Contact Information
zachll@umich.eduCountry Focus
Malawi
Thematic Priorities
Strengthening health systems
Technical solutions
Health Equity Focus
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Data science
Artificial intelligence, large language models, machine learning
Findable, accessible, interoperable, reuseable (FAIR) principles & ethical, legal, social implications (ELSI)
Education and training
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Healthcare communications
eHealth/telehealth
Healthcare quality
Care coordination
Health outcomes
Patient safety
Quality improvement
Healthcare workforce
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Publications
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