Our client, ANKLIN AG, is one of the leading companies in terms of endoscopy in Switzerland. Within the scope of our bachelor thesis, we were requested to create statistics on the number of endoscopic treatments compared to the total number of treatments in Switzerland. This also included a desired sub-division into hospitals and departments. The side goals were to explore the abrasion and quality of endoscopes after usage and to provide data about DRG and TARMED codes.

According to the initial aim, different institutions were enquired to gather the data needed. Moreover, a survey was prepared and sent directly to Switzerland's biggest 50 hospitals and hospital groups. The survey was split into two parts. One containing questions regarding the number of endoscopic treatments per department, and the other containing questions about the abrasion and quality of endoscopes. Since no data could be gathered with either method, the project goal was adjusted, and thus the thesis has been built as a guide for successful data collection.

For the original aim of the thesis, the necessary data could not be collected. Unfortunately, different data collection methods such as queries and a survey were utilized without success. The collection of the data from institutions was prevented due to data protection restrictions or them not having the specific data needed. At the same time, the lack of resources mainly hindered the hospitals from completing our survey and sending the data. These factors led to a change of focus and goals. With adjusted aims, our study explains in detail how ANKLIN AG can effectively collect the relevant data from institutions, especially the Federal Statistical Office, by completing request procedures. Additionally, recommendations about survey structuring and data analysis are given. With the few data found, an analysis and comparison of endoscopic treatments in Switzerland from 2016 to 2020 could be conducted as well. Even though the initial aim could not be carried out, the efforts were not wasted. The thesis with its recommendations provides the blueprint and foundation for further successful data collection and statistical evaluation.