The international organization Doctors Without Borders (MSF) faced the challenge of modernizing data collection in the field, which was entirely manual and impacted the work of volunteers worldwide.
It was necessary to develop an intelligent and flexible system to automate and enhance interviews, even in vulnerable environments.
Using technologies such as Java and Kotlin, UDS created an offline and multilingual application for MSF to use globally.
The result was more accurate data collection, which significantly improved the organization’s ability to map needs and intervene in humanitarian crises.
Doctors Without Borders was conducting demographic surveys on paper, which resulted in long data collection times, a risk of errors due to adverse environmental conditions, and difficulties in data analysis after the surveys.
Without an in-house development team, the organization was unable to create a computerized solution to optimize interviews and cross-analyze data.
The task was to develop a practical mobile application that would work even without internet access, eliminating paperwork once and for all.
A mobile application with offline and multilingual capabilities, designed for over 68,000 professionals worldwide.
UDS formed a multidisciplinary team composed of Software Developers, UX/UI Designers, and Data Security Experts. This team worked closely with representatives from MSF.
We developed a highly accessible system with an intuitive interface designed to meet the needs of users with varying levels of technical and linguistic skills.
We introduced a tablet-based system that allowed interviewers to efficiently collect data, even in areas with limited network connectivity, and easily export reports.
One of the main challenges of this project was ensuring that the application followed a flow of interconnected questionnaires. To address this, different responses needed to lead to different questions, and we took this variable into account.
Additionally, we designed the form to meet specific needs, such as accessibility for people with varying levels of linguistic knowledge.
With offline functionality, the application stands out for its network independence, making it viable for use in vulnerable, disconnected environments.
The solution developed by UDS includes a series of multilingual questionnaires designed to simplify data collection, cross-referencing, and demographic reporting for MSF.
Key features include:
The application’s management area is designed to allow the Doctors Without Borders team to control access data, manage users, and configure the questionnaires available in the app.
By adopting AWS CloudFront technology, we ensured stability, security, and a range of crucial benefits for MSF.
With a global network of servers, it provides fast content delivery anywhere.
Backend in Java: Robustness, scalability, and widespread adoption in the software development industry. This ensured the system could handle large data volumes and remain stable even under adverse conditions
Frontend in Node.js: High capacity for handling non-blocking I/O operations, crucial for ensuring a responsive user experience on mobile devices.
Mobile Development in Kotlin: Compatibility with Java and a clear, expressive syntax allowed us to quickly and efficiently create and update app functionalities.
Doctors Without Borders (MSF) MSF is a renowned international humanitarian organization founded in 1971 by doctors and journalists in France. It provides medical assistance to populations affected by humanitarian crises, such as armed conflicts, natural disasters, and epidemics.
In 1999, MSF was awarded the Nobel Peace Prize for its unwavering commitment to the principles of neutrality, impartiality, and independence, with 97% of its funding coming from donations.
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