Learning Health Systems
NIH/NCATS/HHS TL1 TR001883
Program Directors
Alex Bui, PhD
Moira Inkelas, PhD, MPH, MPhil
Nina Harawa, PhD, MPH
UCLA’s Clinical and Translational Science Institute TL1 program provides formal training opportunities for individuals interested in learnings health systems and the role of data science. Individuals take biomedical informatics and data science coursework with graduate students from engineering and the Medical Informatics Home Area, providing a rich environment for collaborative learning. Projects focus on demonstration implementations, particularly around the EHR, implementation science, AI, and realizing a real-world learning systems.
As a TL1 fellow, you will conduct translational research to improve care delivery for populations. Become a predoctoral or postdoctoral trainee with expertise and training to make the Learning Health System a reality.
There is a need to build learning health systems that improve cross-sector access to the social safety net, and delivery of upstream health services that improve life course health equity. Particular focus is on the development and clinical implementation of a digital health tool to increase patient access to anti-poverty public benefits.
- Liu PY, Spiker S, Holguin M, Schickedanz A. Innovations in social health delivery to advance equitable pediatric and adolescent life course health development: A review and roadmap forward. Curr Probl Pediatr Adolesc Health Care. 2023 Jun;53(6):101451. doi: 10.1016/j.cppeds.2023.101451. Epub 2023 Nov 11. PMID: 37957084; PMCID: PMC10802152.
Using reliability and microsimulation methods to understand implications the potential impact of the University of California's published triage allocation policy on ICU mortality and racial disparities in critical care resource allocation.
- Emeruwa, I. O. Critical Care in a Healthcare Crisis: Applying Reliability and Microsimulation Methods to Understand Implications of a Proposed Resource Allocation Policy. UCLA. 2023. ProQuest ID: Emeruwa_ucla_0031D_22349. Merritt ID: ark:/13030/m5jx99b8. Retrieved from https://escholarship.org/uc/item/6hx11999