Lori Ann Orlando, MD

Professor of Medicine
Associate Director of Duke Center for Applied Genomics and Precision Medicine
Campus mail 102906, Aesthetic Center 2nd Floor, Durham, NC 27705
Phone (919) 660-6606
Email address orlan002@duke.edu

Dr. Lori A. Orlando, MD MHS MMCI is a Professor of Medicine and Director of the Precision Medicine Program in the Center for Applied Genomics and Precision Medicine at Duke University. She attended Tulane Medical Center for both medical school (1994-1998) and Internal Medicine residency (1998-2000). There she finished AOA and received a number of awards for teaching and clinical care from the medical school and the residency programs, including the Musser-Burch-Puschett award in 2000 for academic excellence. After completing her residency, she served as Chief Medical Resident in Internal Medicine (2001) and then completed a Health Services Research Fellowship at Duke University Medical Center (2002-2004). In 2004 she also received her MHS from the Clinical Research Training Program at Duke University and joined the academic faculty at Duke. In 2005 she received the Milton W. Hamolsky Award for Outstanding Junior Faculty by the Society of General Internal Medicine. Her major research interests are decision making and patient preferences, implementation research, risk stratification for targeting preventive health services, and decision modeling. From 2004-2009 she worked with Dr. David Matchar in the Center for Clinical Heath Policy Research (CCHPR), where she specialized in decision modeling, decision making, and technology assessments. In 2009 she began working with Dr. Geoffrey Ginsburg in what is now the Center for Applied Genomics and Precision Medicine (CAGPM) and in 2014 she became the director of the Center’s Precision Medicine Program. Since joining the CAGPM she has been leading the development and implementation of MeTree, a patient-facing family health history based risk assessment and clinical decision support program designed to facilitate the uptake of risk stratified evidence-based guidelines. MeTree was designed to overcome the major barriers to collecting and using high quality family health histories to guide clinical care and has been shown to be highly effective when integrated into primary care practices. This effort started with the Genomic Medicine Model, a multi-institutional project, whose goal was to implement personalized medicine in primary care practices. The success of that project has led to funding as part of NHGRI’s IGNITE (Implementing Genomics in Clinical Practice) network. She is currently testing methods for integrating patient preferences and decision making processes into clinical decision support recommendations for patients and providers to facilitate management of patients’ risk for chronic disease using mHealth and other behavioral interventions.

Education and Training

  • Fellow in General Internal Medicine, Medicine, Duke University, 2002 - 2004
  • Chief Medical Resident, Medicine, Tulane University, 2001 - 2002
  • Medical Resident, Medicine, Tulane University, 1998 - 2001
  • M.M.C.i., Duke University, Fuqua School of Business, 2019
  • M.H.S., Duke University, 2004
  • M.D., Tulane University, 1998


Orlando, L. A., and R. C. Orlando. “Pathophysiology of GERD: Esophageal epithelial defense.” Practical Gastroenterology 28, no. 7 (July 1, 2004).


Orlando, L. A., and D. B. Matcher. “When to stress over triptans: A Markov analysis of cardiovascular risk and migraine treatment.” In Journal of General Internal Medicine, 18:165–165. BLACKWELL PUBLISHING INC, 2003.


Orlando, L. A., and D. B. Matchar. “When to stress over triptans: A Markov analysis of cardiovascular risk and migraine treatment.” In Journal of Investigative Medicine, 51:S297–S297. B C DECKER INC, 2003.


Orlando, L., and R. C. Orlando. “Review and assessment of pharmacologic management strategies for reflux esophagitis.” Formulary 37, no. 3 (January 1, 2002): 140–46.


Bylstra, Yasmin, Weng Khong Lim, Sylvia Kam, Koei Wan Tham, R Ryanne Wu, Jing Xian Teo, Sonia Davila, et al. “Family History Assessment Significantly Enhances Delivery of Precision Medicine in the Genomics Era,” n.d. https://doi.org/10.1101/2020.01.29.926139.

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