{"id":2213,"date":"2020-06-23T18:43:13","date_gmt":"2020-06-23T23:43:13","guid":{"rendered":"https:\/\/lsom.uthscsa.edu\/pathology\/?page_id=2213"},"modified":"2026-06-12T15:10:29","modified_gmt":"2026-06-12T20:10:29","slug":"clinical-informatics","status":"publish","type":"page","link":"https:\/\/lsom.uthscsa.edu\/pathology\/education\/fellowship\/clinical-informatics\/","title":{"rendered":"Clinical Informatics Fellowship"},"content":{"rendered":"

[vc_row][vc_column width=”2\/3″][vc_column_text css=””]This is a two-year ACGME-accredited fellowship in clinical informatics (CI). The CI fellowship includes cross-disciplinary learning for physicians from different medical specialties. 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.<\/p>\n

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.\u00a0 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 UT San Antonio.<\/p>\n

The program includes collaborative faculty from multiple clinical departments at UT 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.[\/vc_column_text][vc_column_text css=””][\/vc_column_text][\/vc_column][vc_column width=”1\/3″] \n \n <\/i><\/span><\/span>
\n

Meet Our Fellowship Program Directors & Faculty<\/h3>\n

<\/p>\n <\/a>[vc_column_text css=””]