Unified patient and clinic workflows across multiple locations.
Multi-location healthcare provider
Fragmented operations across every clinic.
Our client operated multiple clinic locations, each running their own scheduling systems, intake processes, and reporting workflows. Patient data lived in email threads, spreadsheets, and disconnected tools.
New patient intake required manual data entry across multiple systems. Referral tracking was done via phone calls between locations. Cross-clinic reporting required staff to compile data manually — often taking days.
The result: delayed patient care, frustrated staff, and zero visibility into operations across locations.
Listen first. Map everything. Then build.
Workflow Audit
Spent 2 weeks shadowing staff across all locations. Documented every touchpoint, bottleneck, and workaround.
System Architecture
Designed a unified hub that respects each location's workflow while enabling cross-clinic visibility and AI assistance.
Iterative Build
Weekly demos with clinic managers. Adjusted based on real feedback — not assumptions. Deployed location by location.
A unified workflow hub — built for clinics, not generic SaaS.
Unified Scheduling
Cross-location appointment management with conflict detection and automated reminders.
Digital Intake Hub
Patient intake forms with validation, auto-routing, and AI-assisted data extraction.
AI Summaries
Guardrailed AI generates appointment summaries and flags referral opportunities.
Analytics Dashboard
Real-time reporting across all clinics with filterable views by location, provider, and date.
Measurable impact from week one.
What this project taught us.
Staff adoption is the real metric — the best system fails if nobody uses it.
AI in healthcare must have clear guardrails and human-in-the-loop checkpoints.
Cross-location visibility solved problems the client did not even know they had.
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