PEP OSSEUS: An Electronic Patient Record architecture integrated with the device to aid the diagnosis of osteometabolic diseases
Osteoporosis. Electronic medical record. Embedded device. Osseus.
Osteoporosis is a silent disease that affects around 8.9 million people worldwide, and is often only discovered when a fracture occurs, indicating an advanced stage of the disease. In this sense, the Osseus project emerged to act as an early diagnosis solution for osteo metabolic diseases, being a portable and easy-to-use device, designed to act in primary care. It works by collecting data from a form and analyzing this data using a method based on artificial intelligence, called a prediction algorithm, which generates an auxiliary diagnosis of the disease. As it is a tool of this nature and in the research process, an electronic patient record that provides an interface for storage, communication and persistence in the collected data is extremely important for the project. To act integrated with the Osseus device and assist in project research, the electronic medical record needs to receive the data collected by the Osseus device, send it to the prediction algorithm, receive the generated auxiliary diagnosis, and send this diagnosis back to the device to display the result, storing all data in the process. This dissertation aimed to model, validate and implement an electronic patient record architecture that meets all these needs of the Osseus project.