Yale-New Haven Medical Center Program
Location:
New Haven, CTSpecialty:
Clinical informatics (Internal medicine)ACGME Code:
1390800001The Clinical Informatics Fellowship at Yale-New Haven Medical Center is a comprehensive two-year program designed for ABMS board certified and board eligible applicants looking to specialize in Clinical Informatics. This fellowship is managed through the Yale Department of Emergency Medicine and hosted in collaboration with Yale-New Haven Health and the Veterans Affairs medical system, providing a unique integration of real-world healthcare delivery with advanced informatics training.
Program Structure
The fellowship is divided into two distinct years:
First Year: Core Training
During the first year, fellows immerse themselves in dynamic environments tasked with cutting-edge research and real-time healthcare operations. Training encompasses advanced data science techniques, including artificial intelligence and machine learning, as well as practical applications concerning electronic health records and clinical decision support systems. Through hands-on projects at Yale-New Haven Health and the VA, fellows will engage at the forefront of technological integration in healthcare, ultimately equipping them to lead transformative changes within the industry.
Second Year: Advanced Learning and Leadership
The second year emphasizes advanced project leadership, allowing fellows the flexibility to customize their experiences according to their personal and professional interests. Key activities include participation in AMIA’s annual meeting, which enriches the educational journey and prepares fellows for impactful careers in informatics.
Unique Opportunities
One computational advantage of this fellowship is the Veterans Affairs Collaboration. Fellows gain exposure to one of the nation's most comprehensive healthcare databases through the Veterans Affairs Corporate Data Warehouse, focusing on aspects such as data security and patient privacy.
An additional component of the training includes participation in the Biomedical Informatics & Data Science (BIDS) initiative, aimed at revolutionizing the organization and analysis of biomedical data to enhance global health outcomes. Furthermore, fellows will receive advanced training within the Yale-New Haven Health System, including experience in high-stakes healthcare scenarios in a Level 1 Trauma Center.
Graduate Education Opportunities
Fellows have the option to pursue a Masters of Health Sciences in Informatics at Yale. This academic pursuit enhances professional development by deepening field expertise.
Application Process
Applications for the Clinical Informatics Fellowship can be submitted through ERAS until October 1st. This fellowship also participates in the AMIA Match, which occurs in mid-December, streamlining the application process for interest candidates.
Visa Sponsorship
The program provides visa sponsorship for qualified candidates, typically favoring the H1B visa option, ensuring an inclusive environment for international applicants who meet the program's standards.
Competitiveness and Applicant Requirements
This program is highly competitive, welcoming candidates from various medical backgrounds including MD and DO graduates. While there are no strict maximum limits on failed STEP examinations stated, candidates should possess a strong board certification or eligibility status. All applicants should be prepared to demonstrate relevant experience and a commitment to the field of clinical informatics.
Research Expectations
Fellows are encouraged to engage in numerous research projects that focus on data science and clinical decision support systems during the program. Research collaboration is highly supported through the existing network of healthcare professionals and researchers at Yale.
Overall, the Clinical Informatics Fellowship at Yale-New Haven Medical Center offers a distinguished combination of clinical training, advanced research opportunities, and a supportive learning environment tailored for the evolving field of clinical informatics.
Website
Director
Edward R Melnick, MD, MHSAssociate Professor, Department of Emergency Medicine Appointed Since July 2017Coordinator
Program
Program Size
Composition
Quality of Life
First year average hours per week:
60hrsFirst year max cons. hours on duty:
24hrsFirst Year Salary:
$93,832First Year Paid Vacation:
-First Year Paid Sick Leave:
-Training
Fellowship Rate:
-Faculty to Residents Ratio:
5.5XResidents career path:
Admission
Min. Step 2 Score:
-Visa Sponsorship:
-YOG Cutoff:
-Location
New Haven, CT
Housing - Rental Prices
Crime - All Violent Offences
Living in New Haven, CT
- Crime Rate and Safety: New Haven has a higher crime rate compared to the national average, with some neighborhoods being safer than others. It's advised to research the safety of specific areas before choosing your residence.
- Fun Activities: New Haven is known for cultural attractions like Yale University, museums, galleries, and theaters. It offers diverse dining options, parks, and access to Long Island Sound for outdoor lovers.
- Climate: New Haven has a humid subtropical climate with hot summers and cold winters. Expect high humidity in summer and significant snowfall in winter.
- Races and Population: New Haven has a diverse population with a mix of different races and ethnicities, creating a vibrant and inclusive community.
- Education: New Haven is home to Yale University, providing opportunities for intellectual growth and cultural experiences. There are also public and private schools for families with children.
- Cost of Living: The cost of living in New Haven is higher than the national average, especially in terms of housing and healthcare. However, transportation costs are relatively lower.
- Nearby Cities: Larger cities like New York City and Boston are approximately 1.5 to 2 hours away by car, offering access to a wide range of professional and social opportunities.
- Pros: Vibrant cultural scene, diverse community, access to prestigious educational institutions.
- Cons: Higher cost of living, some areas with higher crime rates, cold winters.