We rely on data to help us with decision making and planning the best way to serve our practices and patients. Being able to use data in a meaningful way means that we can provide better patient care.
Using Microsoft Power BI, IAS is able to analyse activity of all of the practices that utilise our service.
We would like to make this data available to practice managers and their teams to monitor usage and more, and would like to hear your feedback.
In the meantime, here are some of the features that you can expect from the data.
Total appointments used vs appointment share – This shows the number of appointments your patients have booked into the IAS or PCR service against the number that we would expect a practice with your list size to have booked. This is an unweighted figure based on list size only.
Total appointments by practitioner type – Shows the proportion of IAS appointments used by clinician type. If your data shows a high proportion of one clinician type you may want to consider having internal discussions about booking with other clinicians such as nurses or pharmacists.
Finished by Age Group – What age group of patients are being booked into IAS? This might show that IAS see a high proportion of working age people or that appointments are spread across age groups.
Total Appointments by Booking Notice – How far in advance are you booking your patients into IAS? This might give you an indication that your practice is booking appointments at the last minute (when you no longer have capacity in practice) or offering IAS appointments as an option at each patient encounter.
Total Appointments by Weekday – Show the days of the week that you book into IAS. Do you use primarily appointment at the weekend or do you offer to patients throughout the week?
Total Appointments by Location – Are your patients seen close to home or will they travel to get an appointment at a nearby hub location? Primary Care Redirection are appointments held at the RSCH and booked in by 111/ IC24 or streamed down from the A&E department.
Finished by Appointment Outcome – What are the common outcomes for patients booked into IAS? Shows how often we refer a patient on for further care and how often we advise a patient to contact their own GP. City wide we expect around 60% of appointments to result in no further action required.
