In Belgium, ambulances have to arrive at the scene of an accident within 15 minutes in 90% of the cases. Hackin'Health designed a decision support tool that simulates the impact of changes in ambulance's allocation at the average response time.

If you know that in 2018, approximatively 1.500.000 incidents took place in Belgium, this means 170 incidents per hour, or in other words, every minute 3 emergencies. You can imagine that the time to an incident is crucial.

Every minute counts, every minute won may be life-saving.

Because this is so important, a Service Level Agreement (SLA) is agreed between the FPS Public Health and local emergency services: an ambulance should reach 90 percent of the incidents within 15 minutes.

Localization of emergency services and the number of ambulances allocated to an emergency service play an important role in meeting the agreed service level.

And it is here that our story begins.

We designed a tool that simulates a number of scenarios against a history of incidents. And for each scenario the impact of that scenario on the average time to incident is calculated. For example, what will happen if we create a new emergency service in the center of Namur, at the airport of Florennes? Or, what will happen if we shift ambulances from a service with low activities to a service with too few ambulances?

The results of the simulation are visualized in a SAS Viya dashboard, where you can compare different scenarios and analyze the results from different angles, like municipalities and regions.

Business Value

Thoughtful allocation of ambulances to emergency services considerably shortens the time to get to an incident. This is crucial in a sector where every minute gained can be life-saving.

Implementation Plan

1 Hackacton Set-up (Scoping & Prerequisites & MarCom)
2 Kick-off
3 Init story @ VVVL
4 Platform set-up @ VVVL
5 Data & Method – iteration 1
6 Visualisation & Viya – iteration 1
7 Validation – iteration 1
8 Data & Method – iteration 2
9 Visualisation & Viya – iteration 2
10 Validation – iteration 2
11 Deployment

Hackin'Health - The quest for life-saving minutes
Company
Skills
Used technologies
Complexity
Medium
Effort Needed
35 man/days
ROI
1 month
Customer
FPS Health, Food Chain Safety and Environment
Industry
Federal Public Service – AMU
Partner
SBI Consulting
Application Type
Decision Support
Tech Stack
SAS Viya
Learning Path
Others
Github
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