

The best course of action was to create a single point of truth for the multiple applications the client was using. The challenge here was that the applications had different data model, therefore mapping them to one schema was essential.Â
A team of software engineers implemented a backend application in Node.js to transform GraphQL queries. GraphQL connected back- and frontend together. To make the whole solution easy-to-use, the UX-designer created an intuitive presentation layer, which was later developed in Angular.
Creating charts that convey all the information necessary for users was of utmost importance to us. We made sure that the data is presented in a modern, insightful way to make working with it easily and efficiently.
Our solution saves hours of physician work time. Instead of analysing data and looking for patterns, roughly ten specialists can instead devote themselves entirely to working with patients. All those valuable analyses are performed by our application that presents it in comprehensive, easy-to-understand charts and diagrams.
The system generated data that greatly speed up giving diagnoses and suggesting treatment methods. The example report looked like this: for patients between 40 and 50 years old with symptoms like stomach ache and nausea, in 60% of cases, the cause was peritonitis. Thanks to the structured data, the diagnosis time has been significantly reduced.
We eliminated the need to buy extra licenses for new users, which allowed the client to make significant savings without reducing the quality of the assistance provided.