Zach Landis-Lewis is an Assistant Professor in the Department of Learning Health Sciences at the University of Michigan Medical School. His research addresses the use of data for feedback interventions to healthcare professionals. He directs the DISPLAY Lab, which designs and evaluates feedback interventions for learning health systems using methods from biomedical informatics, human-computer interaction, and implementation science. His team is developing and evaluating tools for precision feedback as an implementation strategy for mass customization of feedback interventions to healthcare professionals and teams. He teaches a course on knowledge representation and knowledge management in health to graduate students. His research incorporates a global health focus, addressing the modeling of clinical practice guidelines in low-income countries for the purpose of quality improvement and implementation of evidence-based practice. He received a PhD in Biomedical Informatics and Master of Library and Information Science from the University of Pittsburgh.
Zach Landis-Lewis teaches LHS 611: Knowledge Representation and Management in Health.
Areas of Interest
Research and scholarly interests: Message tailoring in learning health systems, implementation science in low-income countries, knowledge-based design of performance feedback interventions, cognitive theories of feedback and advice
Subject-matter expertise: Global health informatics, computer-interpretable clinical guidelines, implementation science, tailored health communication, human-computer interaction
Published Articles or Reviews
- Landis-Lewis Z, Manjomo R, Gadabu OJ, Kam M, Simwaka BN, Zickmund SL, Chimbwandira F, Douglas GP, Jacobson RS. Barriers to using eHealth data for clinical performance feedback in Malawi: A case study. Int J Med Inform. 2015 Oct;84(10):868-75. doi: 10.1016/j.ijmedinf.2015.07.003. Epub 2015 Jul 19. PubMed PMID: 26238704.
- Landis-Lewis Z, Brehaut JC, Hochheiser H, Douglas GP, Jacobson RS. Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change. Implement Sci. 2015 Jan 21;10(1):12. doi: 10.1186/s13012-014-0203-z. PubMed PMID: 25603806; PubMed Central PMCID: PMC4320482.
- Driessen J, Cioffi M, Alide N, Landis-Lewis Z, Gamadzi G, Gadabu OJ, Douglas G. Modeling return on investment for an electronic medical record system in Lilongwe, Malawi. J Am Med Inform Assoc. 2013 Jul-Aug;20(4):743-8. doi: 10.1136/amiajnl-2012-001242. Epub 2012 Nov 9. PubMed PMID: 23144335; PubMed Central PMCID: PMC3721156.
- Landis Lewis Z, Mello-Thoms C, Gadabu OJ, Gillespie EM, Douglas GP, Crowley RS. The feasibility of automating audit and feedback for ART guideline adherence in Malawi. J Am Med Inform Assoc. 2011 Nov-Dec;18(6):868-74. doi: 10.1136/amiajnl-2011-000097. Epub 2011 May 12. PubMed PMID: 21565857; PubMed Central PMCID: PMC3197989.
- Douglas GP, Gadabu OJ, Joukes S, Mumba S, McKay MV, Ben-Smith A, Jahn A, Schouten EJ, Landis Lewis Z, van Oosterhout JJ, Allain TJ, Zachariah R, Berger SD, Harries AD, Chimbwandira F. Using touchscreen electronic medical record systems to support and monitor national scale-up of antiretroviral therapy in Malawi. PLoS Med. 2010 Aug 10;7(8). pii: e1000319. doi: 10.1371/journal.pmed.1000319. PubMed PMID: 20711476; PubMed Central PMCID: PMC2919419.
- Lewis ZL, Douglas GP, Monaco V, Crowley RS. Touchscreen task efficiency and learnability in an electronic medical record at the point-of-care. Stud Health Technol Inform. 2010;160(Pt 1):101-5. PubMed PMID: 20841658.