Passion data collection application
Collecting patient’s information
Project start date : 15/06/2018
Beneficiary country : Lao People's Democratic Republic (the)
About the project
This application is helping to collect data from victims of RTA which is 80% of Vientiane Rescue’s activity, and sick patients (about 10%). Vientiane Rescue collects the GPS position of the accident, the patient’s vital signs at different times to see patient’s condition evolution, the mechanism of injury, injuries locations, number of victims and vehicles involved, patient’s level of consciousness, and other administrative data.
The application is helping first responders to solve problems through 3 main subjects: Pre-hospital, In-hospital and Road safety.
Victim’s information collected on the road will be electronically sent to the hospital and printed out before the ambulance reaches the hospital.
Patients survival rate results calculated, thanks to patient’s data, will show the pre- and in-hospital quality and highlight needs for improvement.
New training will be designed once the most common injuries will be highlighted by data analysis.
Through the step by step application streamline, EMTs will have to follow a strict procedure. For very specific suspicious data collected, pop-up windows will appear to remind Vientiane Rescue’s crews to provide adapted treatment.
Accurate statistics will show to decision makers and officials how serious is the road safety issue in Lao PDR, and lead decision makers to take action and tackle the problem with us.
Thanks to the collection of accidents GPS coordinates on one single map, it will be possible to point out dangerous areas in Vientiane leading to possible road shape amendment or law enforcement actions.
Currently, the victims’ information collected by ambulances are not handed over to the hospital staff early enough so that they can prepare equipment inside the emergency rooms. Plus, there is no clear evidence showing the quality of pre- and in-hospital care services, no data showing which injuries are the most commonly encountered on Vientiane roads, preventing first responders to get a specific training that could improve the quality of care. Sometimes patient’s assessment steps or crucial information are missed which could lead to miss injuries and prevent to provide the best care.
Moreover decision makers base their road safety policies upon WHO’s official Road Traffic Accidents (RTA) statistics in Lao PDR. But these statistics do not reflect the actual situation of Lao’s roads. In addition, nobody knows exactly where accident prone areas are in Vientiane, or what has to be done to improve road safety.
At the moment paper data collection sheets is used, and the app is only available for RTA victims. There’s no other solution available that could fit emergency services’ needs.
6 Full-Time equivalents
4 Service providers
Number of beneficiaries since launch
- Healthcare professionals and structures (hospitals, healthcare centres/clinics, health networks)
- Entire population
- Sick people
- Dependents/persons with disabilities
- Pregnant women
- Children - adolescents (ages 6-18)
- Young children (0-5 years)
- Decreased mortality
- Decreased morbidity
- Reduced suffering
- Improved treatment
- Other (please explain)
- Mobile app (Android, iOS, Windows Phone, HTML5, etc.)
About the sponsor
Vientiane Rescue 1623
Vientiane Rescue is the first ambulance and rescue service organization in Lao PDR. It was founded in 2010. At the time, in Vientiane, road traffic accident victims were left dying on the road side.
Today Vientiane Rescue is the biggest emergency organization in Lao PDR, with 15 Emergency Medical Technicians, 510 First Responders, the country’s first hydraulic rescue team, the country’s first scuba diving rescue team, the country’s first search and rescue team, a team of fire fighters and a fire truck, 22 vehicles and a boat and 10,000 lives saved per year (2019 projection).
Sector : Healthcare (professionals and structures)
Country of origin :
Contact : Sponsor website Project website
Industrial (Startups, enterprises, etc.)
Industrial (Startups, enterprises, etc.)
Healthcare (professionals and structures)
Academic entities (Universities, research laboratories, etc)