The model is being piloted at KK Women’s and Children’s Hospital (KKH) and the National Dental Centre of Singapore. Singapore General Hospital (SGH) is in the midst of tailoring its intervention process. The model would soon be implemented at SingHealth Polyclinics (SHP) and Sengkang General Hospital (SKGH).
How It Works
The predictive model provides healthcare institutions with a no-show risk score for each patient’s appointment. Once the model identifies high risk patients, administrators would contact these patients to remind them about their appointments or check if they need to reschedule their appointments.
About one year’s worth of data, or about three million records, was used to develop the no-show model. Another year’s data was used to validate the model, which has an accuracy of 77 per 100 appointments predicted.
Patients with higher risk of not showing up for their appointments are able to receive timelier reminders from healthcare staff. Other patients may also be allocated with the cancelled appointments, meaning that patients may just get an earlier appointment.
To Healthcare Staff
Healthcare professionals save clinic resources and time as the predictive model allows for better allocation and the time saved can be better spent on direct patient care.