Connect appointment demand to available clinical slots
An illustrative healthcare and life sciences concept connecting appointment requests, booking events, provider rosters, attendance, and cancellations for healthcare appointment access.
Median appointment wait time (days)
Available slot utilization (%)
Appointment no-show rate (%)
Late cancellation rate (%)
THE CHALLENGE
Booking reports do not explain waiting time and unused appointment capacity
Stock not visible
Closing stock is reported irregularly or not at all.
Static norms
Stock norms do not change with seasonal sales velocity.
Fast-mover gaps
High-velocity SKUs run out while slow SKUs pile up.
Ordering by habit
Primary orders follow last month's quantity rather than need.
THE SOLUTION
Healthcare Appointment Access Review Framework
Request timeline
Collect daily or weekly closing stock from every distributor.
Velocity-based norms
Set norms from recent secondary sales velocity and lead time.
Gap identification
Compare stock with norm for every SKU and distributor.
Order suggestion
Show suggested primary quantities for sales team review.
THE APPROACH
Appointment Demand Capture
Standardise closing stock submissions and track missing reports.
Sales Velocity Calculation
Calculate rolling daily secondary sales by SKU and distributor.
Norm Recalculation
Recalculate days-of-cover norms with lead time and seasonality.
Below Norm Alerts
Separate no-shows from cancellations, withdrawn requests, and appointments not yet due.
Specialty Access Comparison
Calculate waiting and utilization measures within comparable specialties and approved booking rules.
Booking Exception Follow-Up
Assign unfulfilled requests and capacity gaps to booking teams while leaving clinical urgency to authorized clinicians.
THE IMPACT
Access visibility
Unfulfilled requests could remain visible beside booked visits.
Capacity context
Unused slots could be compared with demand and roster changes.
Attendance clarity
No-shows could be separated from cancelled appointments.
Focused follow-up
Access exceptions could reach the appropriate booking team.
Controlled review
Authorized teams could review unfulfilled requests, idle appointment slots, and repeated late cancellations, with source evidence retained beside the review case.
Measurable evaluation
A pilot could establish baseline values for median appointment wait time (days) and assess changes after approved actions. Appointment analytics would support administration, not determine clinical urgency or treatment priority.
Explore Distributor Inventory And Stock Norms
Work with RUSA Analytics to connect distributor closing stock, stock norms, secondary sales velocity, and pending primary orders and create a governed workflow to review distributors below stock norm on fast movers or holding excess slow stock. Start with a scoped concept or pilot and agreed success measures.
MORE WORK
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