Patient-access platform · PracticeBeat
Leading Treatspace's pivot from a referral network into a full, AI-first patient-access platform.
Overview
PracticeBeat is Treatspace's patient-access platform. Over a decade I helped take the company from a provider referral network into an AI-first platform that connects discovery, eligibility, scheduling, and the referral loop, and I lead the engineering and product organization that builds it.
The problem
Treatspace began as a referral network. Referrals stalled between discovery and a booked appointment because eligibility, availability, and referral rules lived in separate systems. To grow, the business had to become a full patient-access platform, not just a directory.
Approach
I led the pivot end to end across product strategy, technical architecture, and delivery, and scaled the team to match the ambition.
- Re-platformed onto Kubernetes on GCP for 5× scale at 18% lower infrastructure cost.
- Set the HIPAA and PHI governance posture, earning an A+ security rating five years running.
- Built the first ML clinical decision-support model, lifting referral adherence from ~45% to over 85%.
- Scaled engineering and product from 6 to 47, hiring the 10 managers who now lead them.
Results
The platform grew into a $3.9M ARR business with $8.9M in lifetime contract value, ARR up 8.6× and ARPU up 1,845%. Disaster recovery was proven by a two-billion-record restore in under an hour.