Medical School
Student profile for medical rotation
From medical school through residency and into early practice, physicians and the people who train them spend a great deal of time re-entering, reconciling, and preparing information that already exists. Medicus Tiro builds AI that takes on that work, starting with residency.
CAPTURE THE MOMENT. PERFORM THE WORK. PRESERVE JUDGMENT.
Records, evidence, and credentials are re-entered and re-verified as physicians move from training into practice.
The AI does the preparation. Educators and physicians keep the judgment.
Prove the approach with Family Medicine programs, then expand by specialty and by stage.
Throughout the least supported decade, fragmented systems force medical schools, physicians, educators, and residency and fellowship program teams to retrieve, reconcile, verify, and repackage information that already exists — creating redundant, labor-intensive, and time-consuming administrative work.
Student profile for medical rotation
Reassemble academic records and recommendations
Extensive applications for residency match
Re-enter application data and reconcile documents
Onboarding and progress tracking
Reconcile training records, assessments, and competency evidence
Applications to board certification
Reverify qualifications, professional history, and credentials
Application to licensure
Re-enter information for credentialing and privileging
Credentialing and privileging
Information is often documented after the moment, reconstructed from memory, or re-entered for another purpose.
People connect fragmented observations, requirements, and records across different workflows and systems.
Across education, training, and career transitions, people repeatedly prepare evidence for assessments, readiness, credentials, and progression decisions.
In a national survey of Family Medicine residency program directors, faculty nonclinical work was estimated at an average of 3,394 hours per program each year. Program administration was the largest share, at 39%. Program directors’ estimates from 58 programs, surveyed in 2019. Jarrett JB et al., PRiMER, 2021 (opens in a new tab).
Documentation, competency assessment, and verification requirements continue to expand across physician training. AI can now take on a real share of the preparation work without replacing the people who teach, supervise, and decide.
Training, competency assessment, credentialing, and career transitions each ask for more detailed evidence than before.
Information sits in different systems, in different formats, owned by different institutions.
Purpose-built AI can prepare, translate, and organize information, with people verifying the result.
Many AI tools answer questions while people still carry the process. Medicus Tiro designs each workflow around three questions: what the AI is permitted to do, what a person must verify, and which decisions stay human.
Task-level rules define where AI acts, what must be verified, and which decisions cannot be delegated.
Curated context turns captured information into structured, meaningful evidence for reuse.
Observations remain human-origin and consequential decisions remain human-owned.
Data handling. Institutional and Direct-to-Physician subscriptions are separate. Adopting one does not imply automatic transfer of records to the other, or between institutions.
GME Manager is the company's first AI solution. Residency concentrates observation, assessment, and evidence preparation into regular cycles, which makes it a practical place to show what the approach can do and to measure it.
An AI solution that performs defined evidence and administrative work for residency programs, using curated, specialty-specific intelligence. Educators and program leaders keep the consequential judgments.
Product details at gmemanager.aiPrograms begin with selected work next to the systems they already use, and expand as value is shown. No system replacement is required.
Graduate medical education is well measured, and it has a clear unit of purchase: the enrolled resident. The figures below describe residency and fellowship training only. Later stages of physician development are not included.
Congressional Research Service estimate, most recent year available for each program. How residency training is financed, not software spend or revenue.
The funding streams shown reflect different reporting periods and definitions. Medicaid includes both federal and state payments. These figures illustrate sources of GME funding; they should not be summed to reconcile to the Congressional Research Service estimate.
Estimated salaries and benefits for the administrative staff of ACGME-accredited residency and fellowship programs. The scale of the administrative work, not software spend or revenue.
Company estimate: 14,237 programs × 0.80 administrative FTE per program × $95,823 fully loaded compensation. Salary benchmark: ZipRecruiter, September 2026. Benefits benchmark: U.S. Bureau of Labor Statistics, June 2026. The staffing ratio is a modeling assumption.
Company estimate built from ACGME trainee counts, plus non-ACGME, international, and premium analytics segments. Methodology available on request.
Recurring subscriptions based on resident enrollment, with access for faculty, coordinators, and program leaders.
A separate, planned channel through which residents and faculty can subscribe to selected capabilities on their own.
The model allows revenue to grow with additional programs, specialties, and products, and later with other stages of physician development.
Program count: ACGME, academic year 2025–26. Trainee count: ACGME Data Resource Book, Academic Year 2024–2025.
Each step follows the same pattern: prove value, then extend.
Extend curated, specialty-specific intelligence, one specialty at a time.
Planned: Internal Medicine, General Surgery, Pediatrics, Emergency Medicine, Psychiatry, and OB/GYN.Individual subscriptions for residents and faculty.
Planned channel.Scheduling, duty hours, compliance, and reimbursement.
Planned: GME Scheduling Manager.Assessment, progression, and readiness for the next stage.
Not yet in developmentApplications, letters, interviews, and the move into residency.
Not yet in developmentObservation, evidence preparation, feedback, and progression decisions.
GME Manager · Family Medicine firstExam applications, case logs, and verification of training.
Not yet in developmentTraining verification, background checks, and state applications.
Not yet in developmentCredentialing, privileging, payer enrollment, and continuing education.
Not yet in developmentGME Manager's core capabilities are working, HealthStream has made a strategic investment, and six Family Medicine residency programs are preparing to pilot. Results will be measured during the pilots.
Early strategic funding from HealthStream.
Working GME Manager capabilities, with identity integration to HealthStream's hStream platform live.
Six residency programs are preparing to pilot GME Manager. Pilot results have not yet been measured.
Status as of October 2026.
Medicus Tiro is rooted in three decades of experience in healthcare workforce technology — credentialing, onboarding, scheduling, compliance, and professional development.
“I know where the work breaks down — and why.”
Experience across IBM and HealthStream, including serving as Executive Vice President and President of Credentialing & Scheduling at HealthStream.
Across multiple healthcare software categories, improvements repeatedly increased requirements on the people using them. Medicus Tiro was founded to apply AI-native capabilities to the administrative work that has accumulated.
Medicus Tiro is moving from a working first AI solution to validated results in residency programs. Near-term priorities follow from that.
Complete the six-program pilot and measure the effect on preparation work.
Refine capabilities based on what participating programs learn.
Prepare for additional programs and specialties, and for the Direct-to-Physician channel.
Michael Sousa welcomes conversations with current and prospective investors about the company's strategy and next stage.