Fellowship in Clinical Informatics

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Fellowship in Clinical Informatics

time-durations

Duration: 2 Year(s)

University of Illinois College of Medicine (UICOM), Chicago

Chicago, Illinois, USA

Course TypeFellowship

Course Specialty

Health Informatics

Affiliation

The University of Illinois at Chicago (UIC)

Overview

The Clinical Informatics Fellowship (Pathology) at University of Illinois College of Medicine, Chicago is an ACGME-accredited 2-year training program designed to equip physicians with expertise in applying informatics and data science within healthcare and laboratory medicine. The program focuses on areas such as electronic health records (EHR), clinical data management, laboratory information systems, quality improvement, and healthcare analytics. Fellows gain practical experience through interdisciplinary projects, research, and collaboration with clinical and IT teams, along with structured didactics and mentorship. The training prepares graduates for board certification in Clinical Informatics and leadership roles in healthcare technology, digital health, and pathology informatics.

Admission Intake

JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember

Fee (INR):

-

Stipend (INR):

Stipend is provided as per University of Illinois College of Medicine (UICOM) GME PGY-based pay scale with annual increments.

Accomodation:

At Your Own

Scholarship:

-

Eligibility

  • Completion of an ACGME-accredited residency in Pathology (AP/CP or equivalent)
  • Must be board-eligible or board-certified in Pathology
  • Hold an MD/DO or equivalent medical degree
  • Eligible for medical licensure in the United States

Minimum Education

MD (Doctor of Medicine)Doctor of Osteopathy (DO)

Admission Process:

  1. Apply through ERAS (Electronic Residency Application Service)
  2. Submit required documents:
  • CV
  • Personal Statement
  • Letters of Recommendation
  • Residency details
  1. Applications are reviewed by the program
  2. Shortlisted candidates are invited for an interview
  3. Final selection based on overall profile and interview performance
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