Launch Your Career

Launch your career in the new subspecialty of clinical informatics, focusing on health information technology within health care delivery systems. Open to physicians who are board-certified or board-eligible in any specialty. 

The David Geffen School of Medicine at UCLA and UCLA Health are seeking outstanding applicants for a two-year fellowship in Clinical Informatics (CI) at the University of California, Los Angeles. The program is open to graduates of residency programs in any specialty.

Fellow Requirements

  • Applicants must have graduated from an appropriately licensed medical school located in the United States or Canada, or from a school located elsewhere that is approved by the ABPM.
  • Applicants must successfully complete a residency in an ABMS-participating specialty by June 2018, and must be either board-certified or board-eligible at that time.
  • Applicants should be eligible for a permanent California medical license.
  • Applicants do not need to have formal training in Computer Science or a related discipline, but they need to demonstrate a strong interest and aptitude in Clinical informatics.

Fellow Funding

Salaries and benefits for two fellowship positions are commensurate with level of training. The UCLA Graduate Medical Education Office posts specific information regarding salaries & benefits.

To Apply

Applications to the UCLA Clinical Informatics Fellowship Program must be submitted through the Association of American Medical Colleges' Electronic Residency Application Service (ERAS). The fellowship can be found on the ERAS under Clinical Informatics (Internal Medicine) new specialty. Paper applications will not be accepted. Applications for July 2018 will be reviewed on a rolling basis until October 31, 2017.

Applicants will be also be considered for a CTSI biomedical informatics fellowship; this review is automatic and no additional application is required.

Program name: UCLA David Geffen School of Medicine/UCLA Medical Center Program
Specialty: Clinical Informatics (Internal Medicine)
ACGME ID: 1390514001

Questions or Comments

If you have any questions or comments, please email CIFellowship@mednet.ucla.edu or visit Clinical Informatics Fellowship.

Paul Lukac, MD

Paul Lukac, MD
Clinical Informatics Fellow
Information Services and Solutions
UCLA

Background:
Dr. Paul Lukac is a current Clinical Informatics Fellow at UCLA Health. Dr. Lukac previously completed a residency in Pediatrics at Rush University Medical Center in Chicago and then practiced for three years as an Attending Hospitalist at Lurie Children’s Hospital. He recently graduated from the UCLA Anderson School of Management with a Master of Business Administration. At UCLA Anderson, he focused on data analytics in both healthcare and business, worked for a machine-learning based health tech start-up and completed a hospital administration internship at the Office of Health Informatics and Analytics at UCLA Health. As a fellow, Dr. Lukac will focus on clinical decision support and cost reduction. His current and future research interests include predictive analytics, machine-learning and regression discontinuity in healthcare.

Timothy Lee, MD

Timothy Lee, MD
Clinical Informatics Fellow
Information Services and Solutions
UCLA

Background:
Timothy Lee is a current Clinical Informatics Fellow at UCLA Health. Prior to medical school he completed an MS in community health focusing on health policy and administration particularly in the realm of community development. During Residency in Family Medicine at UCI, he served as Chief Resident of Quality Improvement and President of the House Safety Officers for GME. Focusing on quality, safety and improvement led to involvement in his department go live for EPIC and an interest in the role of technology in improving healthcare delivery. His current and future research interests focus on how to assess, implement and analyze health technologies and the impact they have on healthcare delivery especially in the realms of population health. This includes an interest in the role predictive analytics has on caring for populations and its role in investigating social determinants of health.


Douglas Murad, MD

Douglas Murad, MD
Clinical Informatics Fellow
Information Services and Solutions
UCLA

Background:
Dr. Douglas Murad is a current Clinical Informatics Fellow at UCLA Health. As an Internal Medicine resident at Mayo Clinic Arizona, his research focused on prediction of mortality in ventilated ICU patients using neural network models. As a fellow at UCLA, Dr. Murad will be developing clinical decision support tools to improve patient outcomes. His current and future research areas also include predictive analytics, telehealth, and automation of clinical practice.

Indira Gowda, MD

Indira Gowda, MD
Clinical Informatics Fellow*
Information Services and Solutions
UCLA

Background:
Dr. Indira Gowda is a current Clinical Informatics Fellow at UCLA Health. While completing residency in Emergency Medicine at Mount Sinai, Indira became involved in the Asthma Mobile Health Study that was a part of Apple’s larger ResearchKit. This study leveraged mobile apps in order to complete a national observational study involving thousands of participants. In addition she worked with BrainCheck, deploying their concussion app in the Emergency Department in order to determine if app exposure improved patient satisfaction and overall knowledge of disease. As a fellow at UCLA, Dr. Gowda would like to continue work with app development that engages patients in their healthcare. In addition she would like to explore implementing predictive analytics in the ED setting in order to improve workflow.

*Also a recipient of the CTSI Biomedical Informatics Fellowship.

Cameron Escovedo, MD

Cameron Escovedo, MD
Clinical Informatics Fellow*
Information Services and Solutions
UCLA

Background:
Cameron Escovedo is a current Clinical Informatics Fellow at UCLA Health. During medical school at the David Geffen School of Medicine at UCLA, his research focused on medical education and included starting an anatomy tutoring program and a board review lecture series in Pediatrics. He just completed a Chief Resident year in Pediatrics at the UCLA Department of Pediatrics. During this time, he also completed the Resident Informaticist program at UCLA, and re-designed UCLA CareConnect’s SmartLinks that automate the population of clinical information into documentation templates. His current and future research will focus on incorporating the measurement of Social Determinants of Health into the electronic medical record, and providing clinicians with decision support on social interventions.

*Also a recipient of the CTSI Biomedical Informatics Fellowship.

Elijah Bell, MD

Elijah Bell, MD
Clinical Informatics Fellow*
Information Services and Solutions
UCLA

Background:
Elijah Bell is the 2016 Clinical Informatics Fellow for UCLA Health. While attending Harvard Medical School, Dr. Bell led a research study at the Brigham and Women’s Hospital which evaluated the compliance of a custom, home-grown electronic Emergency Department patient discharge instructions module with Outpatient Measure 19, a national quality metric for Emergency Department discharge instructions mandated by the Center for Medicare and Medicaid Services. Additionally, during his Emergency Medicine Residency at the Baylor College of Medicine, Dr. Bell started developing an open-source, low-cost, highly customizable, and interoperable health information platform which utilizes the ARM CPU architecture in a manner similar to Raspberry Pi. Ultimately, Dr. Bell aspires to become a highly-engaged faculty member and leader in Clinical Informatics at an academic institution committed to advancing the medical field at large through ingenuity and innovation. For this fellowship, Dr. Bell's research focuses on the impact of clinical decision support and mobile triage apps on emergency department length of stay in patients presenting with chest pain.

*Also a recipient of the CTSI Biomedical Informatics Fellowship.