(by Olha Tishchenko, Independent HealthTech Developer at Freeway Psychiatry)
All patient information shown here is entirely synthetic and created for demonstration purposes only. No real patient data is used.
Why TMS Management Needs a Rethink
Transcranial Magnetic Stimulation (TMS) therapy is life-changing for many patients — especially for those who haven’t responded to traditional medications.
But here’s the problem: managing TMS at scale is messy.
- Multiple treatment courses per patient
- Tracking attendance and gaps
- Writing clinical notes
- Keeping everything HIPAA-compliant
Most clinics still rely on spreadsheets, manual logs, or generic EHR modules. These aren’t built for TMS workflows — and that means more admin work, more room for mistakes, and fewer chances to spot patterns early.
The Idea: A Single Dashboard for Everything
I wanted a single screen where a clinician could instantly see:
- How many treatment courses are active or completed
- Which patients are missing too many sessions
- Attendance trends over time
- A breakdown of session types (New, Follow-Up, Service)
So I built the TMS Session Tracker — a streamlined dashboard designed with privacy in mind.
How It Works Today
The current version runs on synthetic demo data for public sharing, but the production version is fully HIPAA-compliant.
Key features include:
- Summary statistics: Total courses, active vs. completed, extended courses (>70 sessions)
- Patient course overview: Session counts, first/last dates, average and maximum gaps, current status
- Session type distribution: Easy-to-read charts for quick insights
- Trend visualization: Attendance and demand over time
AI Is the Next Step
While the current tracker is already useful, I designed it to integrate AI in the future:
- Predictive scheduling — flagging patients likely to miss sessions
- Automated clinical notes — SOAP format with ICD-10 and SNOMED codes
- Outcome analytics — suggesting treatment adjustments based on aggregated trends
Why Privacy Came First
From the very start, I knew this project had to put privacy first. Here’s how I made sure of that:
Only fake patients here – every demo uses 100% synthetic data.
Real data stays safe – encrypted storage and secure production setup.
No peeking without permission – role-based access so only authorized staff can see or edit.
Two worlds, no mixing – real and demo environments are totally separate.
Real-World Impact
Even without AI, early pilot testing showed:
- 30–40% less admin time thanks to automated tracking
- Better adherence monitoring and earlier interventions
- Easier scheduling during high-demand periods (like holidays)
What’s Next
The architecture isn’t limited to TMS — it can work for neurofeedback or other mental health therapies. My goal is to create a multi-modal mental health management dashboard that helps clinicians spend less time on admin and more time with patients.
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