Catch Student Burnout Before the Crisis.

AI-powered early warning system for medical student wellbeing — behavioral signal detection, risk scoring, intervention recommendations, and longitudinal wellness analytics for your institution.

Get Early Access →
No credit card required · Built by an ICU physician
The Problem
Annual wellness surveys catch burnout
after it's already a crisis.
Medical schools rely on retrospective data. By the time a student is identified as struggling, the damage is done.

"Students can only learn from patients who happen to be in the hospital at that time. But the tool being developed will have access to both curriculum objectives and EHR data"

— Harvard Medicine

"Educators are integrating AI and ML into curricula to train medical students to practice medicine in the real world"

— HealthTech Magazine

"Medical student burnout is at crisis levels. Schools face liability and accreditation pressure — yet most rely on annual surveys."

— Medical Education Research
44%
of medical students experience burnout
11%
report suicidal ideation during training
1x/yr
typical wellness survey frequency
$250K
institutional cost per student dropout
The PulseWatch Platform
Continuous monitoring,
proactive intervention.
The same pattern recognition used to detect patient deterioration in the ICU — applied to student wellness.
📡

Behavioral Signals

Detect changes in LMS engagement, attendance patterns, and digital footprints that precede burnout.

🎯

Risk Scoring

AI-generated risk scores for each student, updated continuously. Know who's struggling before they fail.

💡

Intervention Engine

Automated recommendations for appropriate interventions based on risk level and behavioral pattern.

👨‍⚕️

Counselor Dashboard

Integrated tools for student wellness counselors to track, prioritize, and document interventions.

🔗

LMS Integration

Connects with Canvas, Blackboard, and other LMS platforms to pull behavioral data automatically.

📊

Institutional Analytics

Department-level wellness dashboards for deans and accreditation reporting. Prove your wellness investment works.

How It Works
From reactive to proactive in 4 steps.
Stop waiting for crises. Start preventing them.
1

Integrate Data

Connect your LMS, attendance systems, and opt-in wellness check-ins.

2

AI Monitoring

Our engine detects behavioral changes that signal declining wellness in real-time.

3

Alert & Recommend

At-risk students are flagged with specific intervention recommendations for counselors.

4

Track Outcomes

Measure intervention effectiveness and report wellness metrics for accreditation.

Why PulseWatch
Built different. By design.
🧠

ICU Pattern Recognition

Built by a physician who monitors patient deterioration professionally. Same science, different context.

🔒

FERPA & HIPAA Compliant

Student data is encrypted and access-controlled. Privacy is non-negotiable.

📈

Accreditation-Ready

Generate reports that satisfy LCME wellness requirements and demonstrate institutional commitment.

Early Access
Protect your students proactively.
Join the waitlist.
Help us build the early warning system medical schools need. Answer a few questions to shape our platform.
Is student wellness and retention a strategic priority at your medical school?
How do you currently identify students who are struggling before they fail exams or seek crisis help?
What early warning systems, if any, does your school use for student mental health?
Would your institution invest $2,000–$4,000/month for an AI early warning system for student burnout?
If you could know one thing about each student's wellbeing in real-time, what would it be?

✓ You're on the list.

Thank you for joining PulseWatch. We'll be in touch with early access details. Let's protect medical students together.