The goal of this bachelor thesis is to find ways to help people detect diseases earlier and have a higher chance on a successful therapy. It focuses especially on the question, how Big Data can be used in a valuable way in the future and how it is going to transform healthcare.
The concept and prototype is a simplified version of a process that could be used for other diseases as well. The focus on one specific disease, in this case skin cancer, helps to create a specific scenario and detect risks in a clear used case and in an early stage. It is supposed to show optimized processes while interacting with the healthcare system, but most of all functions as a motivational device.
The concept of “Hero” was developed together with physicians from Berliner Charité and the help of dermatologists. The thesis is based on a preceding research thesis on potentials and risks of Big Data in the healthcare industry.
“Hero” is an application that basically everyone can use, who is interested in detecting diseases in an early stage, without the labour of investing much time on multiple visits with specialists. Through image recognition possible diseases can be detected when they are still harmless. It is also supposed to help taking away some fear, that is associated with the visits at physicians. “Hero” creates a personable communication stream, between patient and physician, which leads to a more enjoyable experience interacting with the healthcare system.