Plan de Salud Hospital Alemán is one of the main prepaid medicine companies in Argentina with more than 48,000 members. It has a headquarters in the city of Buenos Aires.
2. Request & Context
The Hospital Alemán health plan is implementing a medical history system oriented to medical problems. We have been entrusted with the task of developing within this system, of which we had already carried out other modules, one that would manage needs of patients with cancer treatments.
We detected that the priority for medical specialists in this type of pathology was to easily understand what cycles the patient had undergone, understand which monodrugs had been applied and have the possibility of generating new treatments considering the monodrugs previously applied.
3. Implemented Solution
To solve this requirement, we have implemented a new module within the clinical history system, maintaining the aesthetic line of the frontend already developed. The first step was to improve the quality of the information provided by the data model, so it was necessary to pre-process it without making changes to it.
With the backend resolved, we focus on designing and implementing the frontend, dividing the module into 2 parts. A summary screen, where important data for the oncologist is reported and a detail in which the information of a previously selected cycle is detailed.
Main view, summary of active treatments, cycles and doses of monodrug
Detail view of cycles and monodrug applied
The system is used for treatments of more than 2,000 patients per year, being a fundamental tool, for medical oncologists, for nursing and administrative personnel who coordinate and execute the applications previously indicated in the system.
The client seeks to differentiate himself from his competition by his excellence in oncological treatments so much that they have created a specific unit, so a system that accompanied this process was vital. At the end of this project, the quality of the service provided has been improved since many of the practices that physicians use in their patients have been automated in a system and have used the statistical data and tools that it offers to be able to constantly improve them.
On the other hand, a reduction in costs has been detected since the application of monodrug in patient treatments has been optimized .