Stabilize patient flow from first booking to pharmacy pickup.
NexaCare Health gives clinic teams one operating layer for live queue balancing, handoff accountability, and medication readiness.
Average wait-time reduction.
Fewer pharmacy stockouts in top SKUs.
Clinic calendars monitored each day.
Care-team handoff events tracked per location.
Medication line items forecasted weekly.
Platform Modules
One workspace for scheduling flow, care-team coordination, and pharmacy readiness.
Each module works alone on day one and compounds value when combined into one operating cadence.
Appointment Flow
Live slot reallocation by clinician load.
The queue updates every few minutes so front desk teams recover cancellations before bottlenecks build.
Care Coordination
Shift planner with ownership tracking.
Incoming and outgoing teams share one status board with pending labs, escalations, and assignment history.
Pharmacy Forecasting
Demand planning by service line.
Stock projections account for visit mix and refill cycles so top-moving items are reordered before shortages.
How It Works
Operational decisions run on a four-step daily loop.
1. Shift-start snapshot
Forecasted demand, staffing gaps, and stock exposure are summarized before patient arrival peaks.
2. Queue balancing
Dynamic recommendations suggest slot moves for delayed clinicians and no-show recovery windows.
3. Exception escalation
Delayed labs, referrals, and supply risks trigger prioritized alerts to the right owner.
4. End-of-day closeout
Managers receive next-day actions with unresolved issues tagged by responsibility.
Measured Outcomes
Consistent gains in clinics with high outpatient throughput.
Before rollout
Manual slot reassignment, unclear handoffs, and late stock alerts created repeated daily slowdowns.
After rollout
Teams act from one queue, handoffs are auditable, and pharmacy risks are visible early.
Supervisors now run incident response in the same workspace used for booking and staffing decisions.
Performance Metrics
Observed operating ranges across outpatient deployments.
reduction in average patient wait time
fewer unfilled slots via dynamic reallocation
fewer pharmacy stockouts in top SKUs
manager time recovered from manual coordination
median response time to operational incidents
Operator-Facing Features
Tools used every shift by front desk coordinators, nursing leads, and operations managers.
Live appointment balancing by clinician load and delay risk.
Role-based handoff planner with unresolved task ownership.
Pharmacy demand forecasts by service line and refill patterns.
Exception board for delayed labs, referrals, and procedure dependencies.
Daily digest highlighting risks, trends, and accountable owners.
Opening and closeout checklists for consistent clinic operations.
Customer Reviews
Feedback from teams running multi-role outpatient workflows.
"Our front desk now refills canceled slots before queue pressure spikes."
"Handoffs are cleaner, and delayed follow-ups are visible to the whole shift team."
"Forecasting reduced urgent replacement calls during peak clinic hours."
"Escalation alerts are practical and prioritized, so we resolve the right issues first."
Leadership Team
Leaders focused on reliability and accountability across outpatient operations.
Agu Kelechi
CEO
Former clinic network operator building practical systems for appointment flow and care-team accountability.
Femi Akinwale
CTO
Engineering lead for workflow tooling, forecasting pipelines, and dependable clinic infrastructure at scale.
Technology Foundation
Production architecture built for low-latency clinic operations and dependable decision support.
Application Layer
Python services exposed through FastAPI power workflow APIs and role-based coordination views.
Decision Layer
PyTorch and scikit-learn models forecast demand, queue pressure, and medication replenishment risk.
Data and Infrastructure Layer
PostgreSQL, Docker, cloud deployment, and observability telemetry keep clinic operations resilient.
Ready to remove daily clinic bottlenecks?
Start with one location, measure outcomes quickly, and scale with a rollout model that fits your teams.