Halsted, Medicratic’s AI‑driven platform, automates residency and fellowship applicant reviews by capturing program preferences, parsing recommendation letters, MSPEs, and personal statements, and generating holistic, bias‑mitigated scores for each candidate. This streamlines screening, reduces manual effort, and enables objective, equitable selection for program directors and academic medical centers.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Residency and fellowship programs must review large volumes of applicant materials, a process that is time‑consuming, prone to unconscious bias, and often lacks a standardized, holistic assessment of candidate qualities.
Solution
Halsted, Medicratic’s applicant evaluation platform, streamlines the review workflow by first capturing program‑specific preferences through a detailed questionnaire. It then uses natural‑language processing to analyze each component of an application—including letters of recommendation, MSPEs, and personal statements—to identify strengths, weaknesses, and alignment with the defined criteria. The system generates a personalized, weighted score for every candidate, enabling committees to compare applicants objectively and efficiently. By automating the initial screening and providing transparent scoring, Halsted reduces manual effort, minimizes bias, and supports more equitable selection decisions.
Target Audience
Primary customers are residency and fellowship program directors, selection committees, and academic medical centers that manage large applicant pools.
Features
- Preference questionnaire that lets programs weight desired applicant attributes
- AI‑driven parsing of letters of recommendation, MSPEs, and personal statements
- Holistic scoring algorithm that combines multiple criteria into a single ranking
- Bias‑mitigation filters that flag language patterns associated with unconscious bias
- Collaborative dashboard for faculty reviewers to view scores, comments, and rankings
- Exportable reports compatible with common residency management systems