Dr. Preetha Basaviah

Professor

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Biography

Preetha Basaviah, M.D. is a Clinical Professor of Medicine at Stanford University, specializing in Primary Care Population Health Practices. She serves as the Assistant Dean for Pre-clerkship Education and is the Director Emeritus of the Practice Medicine Course. Dr. Basaviah has extensive experience in medical education, earning multiple awards including the SGIM National Award for Medical Education and several teaching excellence awards. Her previous roles include working as a general internist and academic hospitalist at UCSF and holding various teaching and leadership positions at Harvard Medical School, including serving as the Associate Firm Chief Hospitalist. Dr. Basaviah is actively involved in curriculum development and mentoring medical students and residents in clinical settings. Her research interests include medical education, hospital medicine, and curriculum design. She has published extensively in these fields, contributing articles and book chapters on medical education topics. Dr. Basaviah is a founding member of DOCS and has presented at various national meetings in the medical education domain.

Research Interests

Experience

Clinical Professor

2006-01-01 — Present

Stanford University • Stanford, CA

Teaching and directing various courses and responsibilities in medical education.

Academic Hospitalist

2000-01-01 — 2005-01-01

UCSF • San Francisco, CA

Worked as a general internist and served in various educational roles.

Awards

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SGIM National Award for Medical Education

2011-01-01
#

California Regional SGIM Clinician Educator Year Award

2010-01-01

Courses

INDE 241 MED 299 MED 280 MED 399 MED 370 MED 199

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.