Intended Audience: MS3-4
Strengths:
Key data on each program (e.g., accreditation, # of positions, interview dates, application deadline, etc.)
Includes info on curriculum, call schedule, resident characteristics, # of faculty, etc.
Includes benefit/salary info
Reliability: strong – info directly from residency programs through GME Track/National GME Census (online survey by AMA/AAMC)
Limitations: Does not necessarily help you evaluate your competitiveness; survey data depends on accuracy of PD self-report; note that full functionality available only to AMA members ($20/year for students)
Intended Audience: MS3 and MS4 students
Comprehensive data on student characteristics (e.g., where applied, aways, interviewed, and matched)
Can filter data multiple to determine which programs interviewed applicants with similar characteristics
Reliability: medium – self-report data from US seniors after Match Day; not all students take survey, so data is not complete; possible that some students did not provide accurate or reliable data
Limitations: Missing data can be challenging to interpret – did a particular program not interview anyone similar to you, or did those who got an interview (and were similar to you) not complete the survey?
This guidebook was developed by the American Association of Colleges of Osteopathic Medicine (AACOM) to help osteopathic medical students identify programs that are affiliated with colleges of osteopathic medicine.
Source: AAMC ERAS Team
Intended Audience: MS3 through MS4 students
Helpful guidance on how to complete ERAS application
Includes data on how programs used new features (e.g., new format for describing experiences, program signaling, geographic preferences)
Reliability: strong – info directly from ERAS Team
Limitations: Does not necessarily help you evaluate your competitiveness; does not tell you which specific experiences YOU should include in your application
Intended Audience: MS1-MS4
MS1/MS2: Understand important research/academic characteristics for a specialty
MS3/MS4: Compare your own data to assess your competitiveness for a specialty
Recent data that can be used to evaluate your competitiveness and to understand recent application patterns in a specialty, including demographic characteristics
Reliability: strong – info directly from NRMP based on applicant ranking behaviors and application characteristics
Limitations: Does not include non-NRMP participating specialties; data updated every other year; some data essentially self-report from ERAS (e.g., research experiences); some data from Applicant Survey based on an individual’s personal preferences