Healthcare

Filling empty clinic slots before they go to waste.

For an outpatient network of four clinics offering physiotherapy, orthopaedic and dietetics sessions, about 1,300 bookable slots a week, bookings live in the clinic management system, rosters in a shared spreadsheet and the waitlist on a printed list at each front desk.

Industry
Healthcare
Solutions
Put all your numbers in one place · Answer questions from your own documents
Engagement
Pilot, then build and run

The challenge

Patients wait for appointments that go unused every day.

Missed appointments leave clinicians idle while the waitlist grows. Front-desk staff have no way to see which bookings are at risk, and matching a cancelled slot to the right waiting patient takes phone calls across four sites.

The approach

How it works.

  1. Agree the boundaries

    Patient details stay in the clinic system. The scheduling view works on appointment IDs, slot types and rosters, and any wider data use needs the network's compliance sign-off in writing.

  2. Model utilisation

    Bookable slots, bookings and attendance history are loaded per clinic, clinician and session type.

  3. Flag risk, act early

    Each upcoming booking gets a no-show risk based on its history, and the highest-risk ones get a call rather than only an SMS.

  4. Fill the gaps

    Open and cancelled slots are matched to suitable waitlist entries, ready for the front desk to offer.

The solution

What gets built.

The solution is a scheduling dashboard on top of the clinic's own system: utilisation by clinic and day, a no-show risk list for the next 48 hours, each clinic's day by clinician and room, and waitlist matches for open slots.

Clinic scheduling dashboard: utilisation by clinic and day, appointments with high no-show risk, a day plan by clinician and room, and waitlist matches for open slots, shown with appointment IDs only.

Outcomes

What it delivers.

  • More of every week's slots used by acting on risky bookings and open gaps early.
  • Front desks working from one list instead of four printed waitlists.
  • Patient data kept where it belongs with the scheduling view working on IDs.
  • Clear numbers for managers utilisation and attendance per clinic, each week.

Technology

Typical stack for this.

  • Python
  • FastAPI
  • PostgreSQL
  • AWS
  • Amazon SES for reminders
  • or whatever you already run

Start with a conversation

Tell us what's slowing your operation down.

A 30-minute call with the people who would build it. You leave knowing whether a pilot makes sense, and what it would cover.