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Healthcare Clinic Attendance

Increase attendance rates at your healthcare clinics

See your patients and clinics in a glance

Visualize your data outside of a spreadsheet to better understand the relationship between clinics and patients geographically.

Identify patients not attending

Using mapping you can see where the patients that are not attending are located allowing you to identify patterns or trends affecting attendance.

Direct patients to attend their nearest clinic

Ensure that patients are invited to attend the most accessible or appropriate clinic to them.

Identify locations for new clinics

Mapping helps you to select clinic locations within a suitable distance from a substantial number of patient locations.


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.


1.Pin Map

Using advanced styling options, a simple pin map can become a powerful analysis tool You can plot both your patient and clinic locations quickly and easily as a pin map.

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Pin Map

2.Radius Analysis

Using radius analysis you can identify the patients that live within a 5-mile radius of your clinic locations. You can also use this to identify those that live outside the 5-mile radius. This type of analysis helps you to see where there are gaps in your clinic coverage which in turn backs up any decisions around the location of new clinics.

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Radius Analysis

3.Exporting to JPEG

When presenting your analysis and findings to key stakeholders in your organization, a visual aid is a great way of ensuring that they can see what you see. Many senior managers and directors on a board prefer visualizations that tables of data.

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Exporting to JPEG

4.Exporting to CSV

Some people like to see the raw data so you can export the findings, such as the number of people that live outside a suitable distance from a clinic, to an excel document for further examination.

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Exporting to CSV

5.Exporting to PPT

Quickly export a single map or collection of maps directly to PowerPoint for presentations. Adding maps to a presentation to the board and senior managers will help to support your findings and proposals for change.

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Exporting to PPT


Mapping is a great way to solve problems such as attendance rates at health clinics. By plotting your data on a geographical map allows you to see it in a very clear and different perspective. Without the geographic aspect, you may be making assumptions that clinic locations are serving your patients well, when in fact, you need more or less or need them in slightly different locations to see a massive improvement in attendance.

You get a single view of your patient and clinic locations and you can run various analysis such as radius to ensure you are providing an accessible service to your patients. If you find that you are not accessible to some patients, you can rectify that by identifying potential new clinic locations. You can then export your findings to JPEG, CSV or PPT to reinforce your proposal for new clinic locations to your key decision makers. Reporting on current attendance rates on a map is far more compelling than a list of addresses. When looking at new locations, including maps in a slideshow displaying current locations, current patients, and patients who are not attending will help with the decision-making process.

Find out more about visualizing your patients and clinics

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