معرفی
Zach Landis-Lewis is an Associate Professor in the Department of Learning Health Sciences at the University of Michigan Medical School. His research focuses on developing computable models for automated clinical performance feedback systems in healthcare, with a global health emphasis on low-resource settings. He holds a PhD in Biomedical Informatics and an MS in Library and Information Science from the University of Pittsburgh.
Education: PhD in Biomedical Informatics, University of Pittsburgh (202?)
MS in Library and Information Science, University of Pittsburgh (202?)
Research Interests:
- Design of knowledge representation systems for healthcare guidelines
- Implementation of precision feedback mechanisms in clinical settings
- Healthcare professional learning through digital interventions
- Global health informatics in low-income countries
Key Contributions: His work bridges biomedical informatics and implementation science, emphasizing scalable solutions for clinical quality improvement. Recent studies focus on dashboard effectiveness and precision feedback systems for urology and anesthesia teams.
Affiliations: Center Member at the Institute for Healthcare Policy and Innovation and Global REACH. Active in interdisciplinary healthcare improvement initiatives.
