Design and Prototype Development of a Patient Navigation Platform for Healthcare Services in Kigali, Rwanda
This study utilized Design Science Research Methodology to identify critical healthcare navigation challenges among outpatients in Kigali, Rwanda, and subsequently developed and validated a highly usable Android-based patient navigation platform that effectively addresses information gaps regarding service availability, specialist schedules, and insurance compatibility.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Imagine standing in a crowded waiting room, clutching a ticket for a specialist who might not even be there. You have traveled far, spent money on transport, and waited in line, only to discover that the doctor you need is off-duty, or the clinic has run out of the specific service you came for. This is not a rare misfortune but a daily reality for many people seeking care in Kigali, the capital of Rwanda. The problem is not a lack of hospitals or doctors, but a lack of clear information. Patients often arrive at a facility without knowing if the specific help they need is available that day, leading to wasted time, exhausted resources, and delayed treatment. In the world of digital health, researchers are trying to solve this by building tools that act as a bridge between what patients need and what hospitals can actually provide right now. The goal is to turn a chaotic search into a simple, informed decision, ensuring that when a person leaves their home, they are going to a place where the care they need is waiting for them.
A team of researchers from the University of Rwanda and the University Teaching Hospital of Kigali set out to understand exactly how this breakdown happens and to build a digital solution to fix it. They began by listening to the people who face this problem every day. Over the course of a month, they spoke with nearly one hundred adult patients at three major district hospitals in Kigali. They asked simple but critical questions: How do you choose which hospital to visit? Do you check if your doctor is there before you go? How long do you wait? The answers revealed a stark gap between what patients wanted and what they could do. More than seventy percent of the people they spoke to had arrived at a hospital only to find their required service or specialist was unavailable. Despite this, fewer than four percent of them had tried to check availability on a phone or computer before traveling. The most important factor for patients when choosing a hospital was whether the specific specialist they needed was actually there, yet almost no one had a way to verify this.
The researchers realized that the issue was not that patients were making poor choices, but that they were making the best choices they could with almost no information. They found that this confusion affected everyone equally, regardless of age, education, or the type of health insurance they held. It was a universal barrier. To solve this, the team applied a method of research that focuses on building a practical solution to a real-world problem. They took the specific needs they heard from the patients and turned them into the blueprint for a new mobile application. This app was designed to be a personal navigator for healthcare. It would not just show a list of hospitals; it would tell a user which hospital has the right doctor available today, how long the wait might be, how far away it is, and whether the user's insurance is accepted there.
The team built a working version of this application, a digital prototype that runs on Android smartphones. The system works by allowing facility staff to update operational information, such as which specialists are on duty and current queue counts, which are then displayed to patients. It uses a simple but effective logic to rank the hospitals. It weighs the distance a patient has to travel, the estimated waiting time, whether the needed service is available, and if the patient's insurance is accepted. The app then presents the best options in a clear list, allowing the patient to see at a glance where they should go. The researchers also included features that let patients book appointments and chat directly with hospital staff, removing the guesswork from the entire process.
To see if this solution actually worked, the researchers invited thirty people to try out the new application. These users were asked to perform common tasks, such as finding a hospital with a specific specialist, checking the wait time, and booking an appointment. After using the app, they rated how easy and useful they found it. The results were striking. The application received a very high score for usability, indicating that it was not only functional but also intuitive and easy to learn. Nearly all the people who tested it said they would be willing to use it again, and many rated it as excellent. The feedback suggested that the design successfully addressed the confusion patients felt, turning a complex navigation task into something straightforward.
The study concludes that the biggest hurdle for patients in Kigali is not a lack of medical care, but a lack of information about when and where that care is available. The research proved that a digital tool, built directly from the experiences of the patients themselves, can bridge this gap with high usability. While this initial version was tested in a controlled setting with a group of people who were comfortable using smartphones, the findings suggest that a system like this could significantly reduce wasted journeys and waiting times if rolled out more widely. The work demonstrates that when technology is designed to answer the specific questions patients are already asking, it becomes a powerful tool for making healthcare more efficient and less stressful for everyone involved.
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