Clinical Informatics Fellowship
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.
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 per academic year
Recruitment Status: Please contact Program Coordinator for open positions
Stipends: Commensurate with level of training
Facilities: University Hospital, University of Texas at San Antonio
Current Clinical Informatics Fellow
Mojisola Popoola, M.D.
Popoola@uthscsa.edu
Residency: Albert Einstein University/Montefiore Medical Center
Medical School: University of Ilorin, Ilorin Nigeria
Graduate School: University of Texas School of Public Health at Houston
Undergraduate School: University of Ilorin
Hometown: Ilesha, Osun State, Nigeria
1. Why Pathology? I like pathology because it is a crucial medical specialty that bridges the gap between laboratory science and clinical medicine. It provides valuable insights into diseases, informs treatment decisions, supports research and development, and contributes to public health efforts.
2. Why did you choose UT Health, San Antonio?: UTSA values diversity and strives to create an inclusive environment where professionals from different backgrounds and cultures feel welcomed and supported. The residency program promotes diversity through various initiatives, programs, and cultural events.
3. What do you like about living in San Antonio? I like San Antonio because San Antonio is known as a warm and welcoming community. The city values civic engagement and has a strong sense of community spirit.
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Applications
Send inquiries to:
Bradley Brimhall, MD Professor and Director of Clinical Informatics Fellowship Department of Pathology UT Health San Antonio 7703 Floyd Curl Drive San Antonio, TX 78229-3900
Kelsey Glassburn
GME Program Coordinator
Department of Pathology and Laboratory Medicine
UT Health San Antonio
7703 Floyd Curl Drive MC 7750
San Antonio, TX 78229
Voice: 210-567-4100
Email: Glassburnk@uthscsa.edu