AI scheduling reduces no-shows for a hospital network
Hospital Network — a healthcare organisation — engaged Skillikz on ai patient scheduling: Predictive scheduling that fills clinics and cuts no-shows. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 6 months.
No-shows wasted clinical capacity and lengthened waiting lists, while manual scheduling couldn't adapt to risk.
We built models that predict no-show risk and optimise scheduling and reminders, improving utilisation fairly.
No-shows fell 26% and clinic utilisation rose, shortening waits while keeping access fair.
The AI services behind this outcome
A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.