Healthcare Technology
AI-Powered Healthcare Platform Transformation
A technology company serving the autism and intellectual-disability care community ran scheduling that took three to five days per client, across care teams whose records lived in separate systems. We built the end-to-end platform: scheduling that resolves in minutes across more than forty variables, a unified clinical workflow, and the compliance posture a regulated healthcare platform has to carry.
45,000+ clients and 47,000+ practitioners, processing 95,000+ sessions annually
90%
Less scheduling time
47K+
Practitioners enabled
45K+
Clients served
40+
Scheduling variables
The challenge
- Three to five days to schedule one client
- Manual coordination against clinical requirements, practitioner skills and logistics, repeated per client.
- Care coordination split across systems
- Stakeholders in a single client’s care worked from separate records, with no shared view of the plan.
- Regulated from day one
- HIPAA and SOC 2 obligations applied to the platform as a whole, not to a phase of it, so compliance had to be designed in rather than added.
- Growth outpacing the platform
- Demand was rising faster than a manually-coordinated operation could absorb.
- No data to optimize against
- Care delivery generated no structured signal, so nothing could be measured or improved systematically.
How we approached it
- 1Scheduling
- 2Clinical platform
- 3Security and compliance
- 1
Scheduling
Collapse the three-to-five-day cycle into an optimization problem.
- Optimizes across 40+ variables including practitioner skills, client needs and logistics
- Six-month forward planning
- Real-time rescheduling and re-optimization
- 2
Clinical platform
Give the care team one workflow instead of several systems.
- Unified workflow for treatment operations
- Automated session documentation
- Revenue cycle management integration
- Clinical decision support
- 3
Security and compliance
Carry the obligations a regulated platform cannot defer.
- HIPAA-compliant infrastructure
- SOC 2 Type 2 certification achieved
- End-to-end encryption
- Continuous monitoring
How it was built
Used by
- Progressive web application
- Cross-platform mobile apps
- Administrative tooling
Microservices platform with AI/ML scheduling and clinical services behind an API gateway
Connects to
- Revenue cycle management
- Clinical decision support
- Predictive analytics
- Microservices
- Independently deployable services, so a change to scheduling does not require redeploying clinical documentation.
- API-first
- Every capability is exposed as an interface, which is what made later ecosystem integrations possible without reopening the core.
- Hybrid cloud
- Deployed across two cloud providers rather than one, and built to absorb an order-of-magnitude increase in load.
- Layered security
- Encryption end to end with continuous monitoring — no security breach to date.
Technology stack
What it delivered
Operational
- 90% reduction in scheduling time
- From three-to-five days per client to minutes.
- 99.9% platform uptime
- Against a service clinicians depend on during care delivery.
- Fully automated deployment
- The release pipeline requires no manual step.
- Sub-second response at scale
- Held as the platform grew, not measured on an empty system.
Scale
- 45,000+ clients served
- People receiving care through the platform.
- 47,000+ practitioners enabled
- Clinicians delivering that care.
- 95,000+ sessions annually
- Processed through the platform.
- Multi-state expansion
- Growth the previous operation could not have absorbed.
Compliance
- SOC 2 Type 2 certified
- Achieved on the platform as built.
- HIPAA-compliant infrastructure
- Designed in rather than retrofitted.
- Zero security breaches to date
- Across the life of the platform.
While others deliver consulting, we deliver working solutions.
Production-ready in weeks. Talk directly to the senior architects who will do the work.
