Image
Jennifer Lee
Professor - University Medical Line, Medicine - Endocrinology, Gerontology, & Metabolism
Professor - University Medical Line (By courtesy), Epidemiology and Population Health
Member, Cardiovascular Institute
Member, Wu Tsai Human Performance Alliance
Member, Stanford Cancer Institute
Member, Wu Tsai Neurosciences Institute
MBA, The Wharton School, U. Penn, Business Administration (executive program) (2024)
PhD, Stanford School of Medicine, Epidemiology
MD, Harvard Medical School, Medicine
MA & BA (joint), Harvard University, Biological Sciences
Fellowship, UC San Francisco, Endocrinology and Metabolism
Board Certification: American Board of Internal Medicine, Endocrinology, Diabetes and Metabolism (2021)
Residency: Stanford University Internal Medicine Residency (2001) CA
Fellowship: UCSF Endocrinology Fellowship (2005) CA
Fellowship, University of California, San Francisco at Mt. Zion (UCSF), Women's Health
Medicine Residency, Stanford School of Medicine, Internal Medicine
Board Certification: American Board of Internal Medicine, Internal Medicine (2004)
Affiliation:
INTERESTS/SANBOX:
Break silos, build crosswalks and teams/partners to enhance, re-design, re-imagine, and realize better patient health outcomes, patient experience, patient and provider decision making, and healthcare access, quality, safety, efficiency, effectiveness.
-Evaluate and R&D optimizing knowledge extraction from EHR and other data sources
-Optimize patient/population health outcomes and experience, healthy decision making, healthcare quality, safety, access, and delivery, and workforce engagement
- Emulate clinical trials
-Partner to advance and implement scalable, impactful Innovations, with multiple partnerships: R&D, tech (digital, immersive, device, etc), system re-designs
-Robust means for real-world evidence (bench/molecular science, causal inference, trajectory prediction, SDOH, pragmatic hybrid trials)
-Behavioral change in decision making among patient-provider-healthcare system
-Weather event preparedness and health impact
Utilize multiple data sources and data science/epidemiology/AI approaches.
Leverage the largest U.S. integrated health care system (VHA) with the longest running EHR
Community-based multi-site longitudinal cohort studies and clinical trials related to endocrine/metabolic aging
Molecular/genetic epidemiology -- Aging and hormonal/metabolic transitions and dynamics
Cardiometabolic diseases and glycemic dysregulation, bone and body composition, cancers, thyroid, estrogen-androgen, autoimmune conditions
Facilitate:
Innovation, Research, Advanced Analytics (DCOS, ACOS-R), VA Palo Alto Health Care System (VAPA)
VA Research, Mentored Research Programs, BD-STEP fellowship program
https://www.va.gov/palo-alto-health-care/research/
https://www.herc.research.va.gov/include/page.asp?id=bd-step
National Center for Collaborative Healthcare Innovation (NCCHI), Veterans Health Admin (VHA)/VAPA
https://www.innovation.va.gov/ecosystem/views/national-centers/ncchi/
VA Convergence Center (VC2): NCCHI, Simulation Center, Clinical Informatics, at VAPA
LEAP - national data initiative (Leverage Electronic Health Data to Advance Precision Medicine) -- https://med.stanford.edu/jleelab.html
Million Veteran Program
https://www.mvp.va.gov/
Palo Alto Cooperative Studies Program Coordinating Center, VHA
Break silos, build crosswalks and teams/partners to enhance, re-design, re-imagine, and realize better patient health outcomes, patient experience, patient and provider decision making, and healthcare access, quality, safety, efficiency, effectiveness.
-Evaluate and R&D optimizing knowledge extraction from EHR and other data sources
-Optimize patient/population health outcomes and experience, healthy decision making, healthcare quality, safety, access, and delivery, and workforce engagement
- Emulate clinical trials
-Partner to advance and implement scalable, impactful Innovations, with multiple partnerships: R&D, tech (digital, immersive, device, etc), system re-designs
-Robust means for real-world evidence (bench/molecular science, causal inference, trajectory prediction, SDOH, pragmatic hybrid trials)
-Behavioral change in decision making among patient-provider-healthcare system
-Weather event preparedness and health impact
Utilize multiple data sources and data science/epidemiology/AI approaches.
Leverage the largest U.S. integrated health care system (VHA) with the longest running EHR
Community-based multi-site longitudinal cohort studies and clinical trials related to endocrine/metabolic aging
Molecular/genetic epidemiology -- Aging and hormonal/metabolic transitions and dynamics
Cardiometabolic diseases and glycemic dysregulation, bone and body composition, cancers, thyroid, estrogen-androgen, autoimmune conditions
Facilitate:
Innovation, Research, Advanced Analytics (DCOS, ACOS-R), VA Palo Alto Health Care System (VAPA)
VA Research, Mentored Research Programs, BD-STEP fellowship program
https://www.va.gov/palo-alto-health-care/research/
https://www.herc.research.va.gov/include/page.asp?id=bd-step
National Center for Collaborative Healthcare Innovation (NCCHI), Veterans Health Admin (VHA)/VAPA
https://www.innovation.va.gov/ecosystem/views/national-centers/ncchi/
VA Convergence Center (VC2): NCCHI, Simulation Center, Clinical Informatics, at VAPA
LEAP - national data initiative (Leverage Electronic Health Data to Advance Precision Medicine) -- https://med.stanford.edu/jleelab.html
Million Veteran Program
https://www.mvp.va.gov/
Palo Alto Cooperative Studies Program Coordinating Center, VHA