Zach Landis-Lewis 2021 cropped

Zach Landis-Lewis, PhD, MLIS

Assistant Professor of Learning Health Sciences
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Zach Landis-Lewis is an Assistant Professor of Learning Health Sciences. He is developing computable models within a system to support automated tailoring of clinical performance feedback for healthcare professionals and teams, in both high- and low-resource contexts. 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 developing automated performance feedback to improve learning in health care. He received a PhD in Biomedical Informatics and a 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

Selected publications:

  • 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.