The solution worked because it combined automation with the operating knowledge already held by schedulers.

WorkedDid not

Utilization

93% after redesign¹

71% before redesign¹

Self-scheduling

41% of new-patient bookings¹

Zero before redesign¹

Cancellation recovery

87% backfill rate¹

Manual recovery alone, not the redesigned approach

Staff role

Rules codified, staff retained¹

Staff replacement, not the reported model

The practical design choice was to encode the rules schedulers already used. That preserved the value of local judgment while allowing automation to handle repeatable actions. The reported time saving was about 3.2 hours per day for schedulers.¹

The solution also connected several moments that are often designed separately: initial booking, new-patient access, and recovery from same-day cancellations. Booking conversions lifted by 18%, new-patient visits per quarter rose by 24%, and automated outreach produced an 87% backfill rate.¹ Together, those results show a process designed around the full appointment lifecycle.

Scheduling rules digitized, utilization jumped, revenue rose unexpectedly