The Duke Precision Medicine Program aims to bring proven precision medicine technologies from the basic science portfolio to the clinical settings through both research and clinical programs. Precision medicine technologies are broad-based and include specific tools such as wearables or our family history risk assessment platform, as well as predictive models that incorporate multiple modalities using state of the art scientific principles like machine learning. Housed in the Division of General Internal Medicine in the Duke Department of Medicine, our team is particularly interested in incorporating 'omic technologies, such as genomics, transcriptomics, and epigenomics, into clinical environments to enhance patient care and has broad based expertise in health services research, implementation science, and complex data. 

"Precision Medicine is the future of medicine and we are excited to be on the forefront of research, advancements, and discoveries." - Lori Orlando, Director of the Duke Precision Medicine Program

Lori Orlando

Lori Orlando, MD, MHS, MMCI
Director of the Duke Precision Medicine Program

Learn more about our work

The pace of precision medicine is rapidly accelerating and it’s potential to improve individual and population health is as well. However, precision medicine’s unique complexities make it difficult to incorporate into our existing healthcare infrastructure and processes.

Our goal is to identify and address these challenges so that patients and providers have the data, tools, and resources they need to optimize health.


Our team is dedicated to advancing research in precision medicine through ongoing studies through trial networks housed at Duke University.

Health Care

Our team has developed and implemented various initiatives, programs, and tools, to bring precision medicine into the hands of providers, including both clinicians and pharmacists.

  • PHASER: Pharmacogenomics Testing for Veterans program (PHASER), brings pharmacogenomic testing to Veterans across the country receiving care at a VA. Led by Founding Director, Deepak Voora, PHASER uses this type of testing to optimize prescriptions using genetic data from patients to reduce adverse side effects and improve medication outcomes. 
  • MeTree: Developed by the Duke Precision Medicine Program, MeTree is a web-based, patient-facing risk assessment tool that collects personal health information and family health history.

Education & Training

Educating the next generation of researchers and health care providers in genomics and precision medicine is part of the fabric of our values. We are committed to providing extraordinary mentorship and educational experiences to future genomics researchers, educators, and clinicians.

News & Recognition

See what's happening at the Duke Precision Medicine Program:

WearDuke expands to provide wearables through Koru curriculum

The WearDuke study, led by co-principal investigator, Susanne Haga, PhD, associate professor of Medicine in the division of General Internal Medicine, launched in 2019 as a campus-wide health initiative to address student well-being.

Women in Internal Medicine

As we recognize Women’s History Month, I would like to share some personal reflections on the gender evolution in academic departments of internal medicine over the past 20 years.  As one of the most senior women in our department, I have lived through these changes and am excited to see the progress we have made in establishing gender balance.

GIM Funding Awards - Third Quarter 2022

Congratulations to three General Internal Medicine (GIM) faculty members who are the recipients research funding since July of 2022. 

Rowena Dolor has received a sub-award through the Vanderbilt University Medical Center for a project entitled "PCORnet Engagement Coordinating Center." Total funding will be $136,441.

Lori Orlando has received an award from the National Institutes of Health for a project entitled "Building and Deploying a Genomic-Medicine Risk Assessment Model for Diverse Primary Care Populations." Total funding will be $812,705.