Clinical documentation · Production

Winnipeg Denture & Implant Centre automates consultation notes and referral letters with Lindy, saving 10+ hours weekly

The problem

The clinic's staff spent excessive time on documentation and referral workflows instead of patient care, creating bottleneck risk during absences and raising the prospect of hiring additional administrative staff as the practice grew.

Workflow diagram · grounded in source
1
Appointment triggers documentation
trigger
“Generate consultation notes automatically after each appointment”
2
Consultation notes generated
ai_action
“Minimal revisions needed—Lindy delivered near-final outputs instantly”
3
Referral letters drafted and sent
ai_action
“Draft and send referral letters with custom formatting and accurate clinical language”
4
Professional documentation delivered
output
“Consistent, professional documentation”
5
Staff absence fallback
routing
“Smart task fallback during staff outages”
Reported outcome

Lindy saved the clinic 10+ hours per week and delivered 97% task completion accuracy, eliminating the need to hire additional admin staff and reducing individual tasks from roughly an hour to five minutes.

Reported metrics
Hours saved per week10+ hours
Task completion accuracy97%
Additional admin hiring avoidedNo need to hire additional admin
Per-task time reductionan hour now takes five minutes
Reported stack
Lindy
Source
https://www.lindy.ai/case-study/winnipeg-denture-implant-centre
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Lindy saved the clinic 10+ hours per week and delivered 97% task completion accuracy, eliminating the need to hire additional admin staff and reducing individual tasks from roughly an hour to five minutes.

What tools did this team use?

Lindy.

What results were reported?

Hours saved per week: 10+ hours; Task completion accuracy: 97%; Additional admin hiring avoided: No need to hire additional admin; Per-task time reduction: an hour now takes five minutes (source-reported, not independently verified).

How is this clinical documentation AI workflow structured?

Appointment triggers documentation → Consultation notes generated → Referral letters drafted and sent → Professional documentation delivered → Staff absence fallback.