About
A multi-location healthcare network in Ottawa had fragmented data across EHR, telehealth, scheduling, and billing systems. DATAFOREST implemented CareOps AI OS — unifying data across 5 core systems, standardizing workflows, and delivering real-time visibility into patient flow, provider utilization, and bottlenecks.
Challenge, approach, and impact
Disconnected operational systems
Critical data was spread across EHR, telehealth, scheduling, and billing platforms, creating silos and limiting visibility across the network.
Inconsistent workflows between locations
Different clinics and care teams followed different processes, making operations harder to manage and standardize at scale. Integrations between platforms were incomplete or inconsistent.
Limited real-time visibility for leadership
Decision-makers could not reliably track patient flow, provider utilization, or operational bottlenecks across clinics in one place. Leadership relied on delayed reports rather than real-time insight.
Manual coordination overhead
Teams had to rely on manual effort to align processes, gather information, and resolve day-to-day operational inefficiencies. Operational bottlenecks were difficult to identify at their root cause.
How we built
Testimonials
Anonymous
“This project was a great example of how the right data architecture can transform healthcare operations. By unifying data across 5 disconnected systems into a single operational layer, we gave the client's leadership real-time visibility they never had before. Building CareOps AI OS was a complex integration challenge, but the results — 35% faster decision-making and 25% reduction in operational bottlenecks — speak for themselves.“
Team structure
Client team
Hide Name
Project Manager
The client stakeholders were working closely with the team at Dataforest
Agency team
Data Engineer
Production
Business Analyst
Production
Product Manager
Production
ML Engineer
Production
