Gillian D. Sanders

Gillian D. Sanders, PhD

Associate Professor of Medicine at Duke University
Former Stanford Health Policy Core Faculty Member
Stanford Health Policy Adjunct Affiliate
President of Society for Medical Decision Making

Duke Clinical Research Institute
P.O. Box 17969
Durham, NC 27715

(919) 668-7824 (voice)
(919) 668-7060 (fax)

Research Interests

cost-effectiveness analysis of chronic diseases and the automated translation of such evidence-based decision models into computer-based clinical-practice guidelines that can be tailored for specific patient populations or sites, or updated as the clinical evidence evolves

Bio

Gillian Sanders is an associate professor of medicine at Duke University; a former CHP/PCOR core faculty member, and a current adjunct associate at CHP/PCOR. Her research expertise lies in medical decision making, cost-effectiveness analysis, medical informatics, and guideline development. She was a key member of the Cardiac Arrhythmia PORT project, and has had primary responsibility for the development of the Cardiac Arrhythmia decision models, in collaboration with Douglas Owens. To date, she has developed models that evaluate:

  1. the risk stratification of patients at risk for cardiac arrhythmia;
  2. the cost-effectiveness of implantable cardiac defibrillators (ICDs) relative to amiodarone in survivors of sudden cardiac death; and
  3. the cost-effectiveness of ICDs and amiodarone in lower-risk post-myocardial infarction patients.

In addition, she has collaborated on several cost-effectiveness analyses including: screening for breast cancer risk with genetic tests; radiofrequency ablation for treatment of paroxsymal supraventricular tachycardias; PET scanning for the diagnosis of solitary pulmonary nodules; screening strategies for Chlamydia infection in adolescents; an HIV screening program; and potential Coccidiodes immitis and human papillomavirus vaccines. Sanders has developed an Internet-based system for automatically creating customizable clinical-practice guidelines from such decision models. She received a BA in mathematics from Princeton University, and a PhD in medical informatics from Stanford University.

Stanford Affiliations

Medicine