Healthcare is an industry where speed and accuracy are paramount. As a healthcare provider you need to be able to provide your patients with the services they need as quickly as possible and often that is determined by the distance between your services and the patient’s location.
Your clinic attendance rate has been struggling of late and you’re keen to understand why? Do your patients have to travel too far to get to a clinic? Do you have enough clinics to serve your patients? Is there a cluster of patients that would benefit from a new clinic located nearer to them? A location that is easier to access for your patients will have a higher attendance rate.
The answers to all these questions lie within the thousands of rows and columns of data in your spreadsheets. You’ve filtered and pivoted the data until it barely makes sense any more. You need something to make the entire process easier.
1. Where are my patients and clinics located?
You have tonnes of address information in two spreadsheets; your patient locations and your clinic locations. Working out the location relationship between all this data is difficult to decipher. You need a quicker and easier way of doing it.
2. How many lie outside a 5 mile radius?
Most people will travel up to 5 miles for a necessary service such as healthcare. Because of this you want to have a clinic located within 5 miles of your patients but you need to be able to justify it. To see this you need to be able to identify the number of patients that live outside that radius.
3. How do we best match patients with clinics?
To increase attendance rates and also to improve the patient’s experience, you want to direct them to the most appropriate clinic for them. You need a better understanding of a patient’s location and nearby clinics so that you can match them with the most appropriate clinic or give them the options of a number of suitable clinics for them.
4. Where do we need new clinic locations?
Once you know where your patients and clinics are located, you need to identify any gaps in the service. Using this data and the internal criteria for establishing a new clinic location, you need to be able to identify the best location. You then need to be able to export the relevant data to back up your decision to show to key decision makers in your organization.