The UT Health San Antonio offers a two-year Transfusion Medicine Fellowship that is fully accredited by the ACGME. Training includes specialized coursework in foundational CI as well as healthcare analytics, cybersecurity, and data science, as well as elective learning opportunities such as medical applications of machine learning/artificial intelligence, population/community health, bioinformatics, sensor data/internet of things, and healthcare business intelligence). The fellowship typically accepts one trainee per academic year with a structured curriculum and dedicated teaching staff.
Each fellow will actively participate in healthcare analytics and process improvement projects with selected CI faculty mentors. These projects enable fellows to analyze data from different large data sources (clinical, operational, financial, community, etc.). In addition, projects provide an environment for fellows to lead and carry out effective healthcare analytics and process improvements. Fellows are also encouraged to participate in CI research activities leading to publication of manuscripts and/or presentation of research findings at professional meetings. Fellows with pathology specialty training will maintain clinical skills though another pathology subspecialty program, such as transfusion medicine, at the University of Texas Health Sciences Center at San Antonio (UTHSCSA).
The program includes collaborative faculty from multiple clinical departments at UT Health San Antonio and University Health System (UHS). In addition, the program includes outside faculty with considerable experience in data science, applied analytics, predictive modeling, and machine learning/artificial intelligence, based at: 1) the University of Texas at San Antonio (UTSA), 2) the Southwest Research Institute (SwRI), a large non-profit engineering center, and 3) Health Access San Antonio (HASA), a large multi-regional health information exchange.
Requirements: Completion of ACGME accredited residency with board eligibility or certification.
Number of positions: One
Academic year 2022-2023: Filled
Academic year 2023-2024: Filled
Stipends: Commensurate with level of training
Facilities: University Hospital, University of Texas at San Antonio
Current Clinical Informatics Fellow
Ashley Windham, D.O.
Fellowship: Clinical Informatics/Transfusion Medicine – UT Health San Antonio, 2022
Fellowship: Hematopathology – Baylor Scott and White/Texas A&M University, 2018
Residency: Baylor Scott and White/Texas A&M University, 2019
Medical School: University of North Texas Health Science Center – Texas College of Osteopathic Medicine, 2015
Undergraduate School: Texas State University, 2011
Hometown: Dallas, TX
1. “Why Pathology” I enjoy pathology because we are often able to provide information to providers and the patients they care for so that they can get the treatment they need.
2. Why did you choose UT Health San Antonio? I chose UT Health San Antonio to pursue a combined fellowship in clinical informatics and transfusion medicine because I believe it to be the best fit for me personally and professionally.
3. What do you like about living in San Antonio? I like San Antonio because it is a large city with a small town feel and I already feel like I fit right in.
Brad Brimhall, MD, MPH (Pathology) Program Director
Marjorie David, MD (Pathology)
David Chambers, MS (SwRI Intelligent Systems Division)
Max Kilger, PhD (UTSA Data Security/Data Analytics)
Edward Medina, MD, PhD (Pathology)
Leslie Greebon, MD (Pathology)
Paula Shireman, MD, MBA (Surgery)
Philip Beckett, PhD (CEO HASA)
John Daniels, DO, JD, MPH (Pathology)
Liem Du, MD (Internal Medicine)
Russell Higgins, MD (Pathology)
Frank Rosinia, MD (Anesthesiology)
Philip LoVerde, PhD (Biochemistry/Pathology)
Michael Shoffeitt, MD (Internal Medicine)
Send inquiries to:
Fellowship Program Coordinator
Department of Pathology and Laboratory Medicine
UT Health San Antonio
7703 Floyd Curl Drive MC 7750
San Antonio, TX 78229