Why Location Matters?
Location is not only about the place and building itself. It corresponds with many factors that are crucial for potential clients. Long travel time can prevent patients from visiting you. You can also choose an easily accessible place in the city center. Now potential patients can access your practice easily. As well as 5 other similar places that were there before you and are already well-known. An alternative? You can be like the only orthopedics in the mountain resort where tourists are hiking, skiing and sometimes need orthopedic care because of sudden injuries.
It’s all about finding the location that will make you and your services unique and easily accessible. But how?
How to Choose the Right Location?
Back in time, there were only two possible options.
Option 1: Choose the place randomly, relying on gut feelings or outdated market knowledge, which could lead to missed opportunities or costly mistakes.
Option 2: Try to gather information manually and then analyze it on your own, without any specialized tool. This approach often results in fragmented or missing data, followed by long and error-prone manual analysis.
Fortunately, advancements in technology and data analytics have revolutionized the way to approach location selection.
Discover Datali’s solution
The tools using geospatial analysis and advanced algorithms can help you take into account factors that make the location stand out. They can also visualize it in an attractive way. We’ve built such a solution having one in mind. What is healthcare accessibility in Switzerland? Knowing this, you can choose the optimal location for a new medical service.
As a result, we developed an algorithm visualizing the key parameters for choosing the best location for any medical service. This tool provides a way to generate heat maps, allowing to identify "white spots"—areas with low healthcare access. Using data about location of already existing medical services, transportation networks, and patient travel patterns we were able to map healthcare accessibility. Want to see which area lacks a psychiatric clinic or pharmacy? Wonder where you can’t find MRI or CT scanners? Or the hospitals? No problem, just take a look.
We also concluded that the distance is not enough to assess the accessibility. For each location our algorithm calculates the travel time by car, by bike or by walk as the means of transportation play a crucial role in the more remote, rural or mountainous areas. If you are the only pneumologistin the area, the patients might be willing to take a 15 minute car ride. For visiting one of numerous GPs, it can be too long.
Thanks to visualizing travel times, analyzing competitor presence, and incorporating real-world transportation data, you’ll get a clear understanding of how accessible your services will be, even in hard-to-reach or underserved areas.
With Datali’s tools, you can secure a location that meets both patient and business needs, unlocking your full potential.
