MedTrack / Data Sources & Methodology

Data Sources & Methodology

Version 1.0 · Last Updated: June 24, 2026

1. Overview

MedTrack helps premed students track their progress toward medical school by combining their self-reported study and experience data with public school-level data. This page explains the calculations behind the metrics in the app, the sources behind our school dataset, and the limitations of what those numbers mean.

We publish this page so users — and admissions counselors, advisors, and researchers — can understand exactly what MedTrack measures and how. None of the figures below are admissions predictions. They are tracking aids and self-assessment tools.


2. What MedTrack Score Measures

MedTrack Score is a 0–100 composite that summarizes your overall premed readiness across multiple pillars:

Each pillar is weighted based on its typical importance in medical school admissions. The score updates as you log new data.

Pillar weights (current version)

The Score draws on four pillars:

These weights reflect the relative emphasis admissions committees typically place on each category at MD programs. The weights are tuned for a US MD-track applicant; DO and international tracks use modified weights documented in-app.


3. How Projected MCAT Is Calculated

The Projected MCAT range is an estimate of the scaled MCAT score you would likely earn based on your logged practice data. We display a range (e.g., 508 — 514) rather than a single number because limited practice data has inherent uncertainty.

The estimate is based on:

We use a statistical model that converts your practice accuracy to an estimated scaled MCAT score range. The range widens when you have limited practice data and narrows as you log more blocks. As you get closer to the AAMC-published official practice test range, the projection converges toward what real test-takers with similar practice accuracy have scored on the actual MCAT.

Disclaimer: Projected MCAT is an estimate based on self-reported practice data, not a prediction of actual MCAT performance. Real MCAT scores depend on many factors not captured in practice data — test-day conditions, stamina, content gaps that practice didn't surface, anxiety, and timing. Treat the projected range as a directional signal, not a forecast.


4. How Practice Accuracy Is Calculated

Practice Accuracy = total correct answers ÷ total questions answered, across all logged practice blocks.

It updates whenever you log a new block. Section-level accuracy (when shown in-app) uses the same formula scoped to a single MCAT section's blocks.

We do not weight more recent blocks more heavily than older ones in the headline accuracy figure. If you want to see your trajectory over time, the in-app Performance screen shows a rolling accuracy line by week.


5. School Data Sources

MedTrack pulls school data from public, primary sources where available. We prefer official sources over aggregators, and we mark on each school's page where a given figure came from.

Sources we use:

Data is refreshed periodically. Some figures may lag behind the most recent admissions cycle, because many schools publish their stats only after the matriculating class has enrolled.


6. Acceptance Rate Methodology

We display acceptance rate as:

(matriculants ÷ total applicants) for the most recent published admissions cycle

This is the convention used by the AAMC's Medical School Admission Requirements dataset.

A few notes:


7. Tuition Data

Tuition figures are pulled from official school sources where available, and from aggregated public datasets where not. Figures represent estimated annual tuition for the most recent academic year published.

Tuition figures do NOT include fees, housing, meals, transportation, books, board exam costs, or other cost-of-attendance components. For total expenses, refer to the school's published cost of attendance.


8. What MedTrack Score Is NOT

This section is important. We want users to understand the limits of what the Score is for.

MedTrack Score is NOT:

Use the Score the way it is intended: as a tracking tool that helps you see where you stand on the measurable dimensions of a premed application. Pair it with human guidance from your advisors.


9. Updates & Versioning

This methodology document is versioned. Material changes to the scoring algorithm or to which data sources we use will be noted here so you can see what changed and when.

Past versions of this document will be archived as we publish new ones.


10. Questions

For methodology questions, including how a specific number was computed or why a particular school's data looks the way it does:

Email: medtrackinfo@gmail.com