A large amount of health data is gathered through various health institutions all over the world. The District Health Information Software 2 (DHIS2) is a Health Management Information System (HMIS) used in over 100 countries. Each country manages their own installation of this platform and gathers their own data, for their own purposes. There is a desire to be able to use this data for more than was originally intended, however. There are a variety of purposes where this data could prove to be of great benefit, but for research, as well as the further development of DHIS2. There are, however, barriers which prevent this from happening. To be able to make use of this data, it must first be published, but to do so requires a careful approach. With strict regulations on privacy and data protection being introduced through regulation such as the General Data Protection Regulation (GDPR), failing to comply may lead to the loss of vast amounts of money for anyone handling data, and may even lead to the demise of careless and unprepared organizations. Furthermore, the anonymization process may lead to a significant loss in the utility of data, due to its destructive nature. This thesis seeks to research the potential for performing anonymization efforts on health data, such that the anonymized data remains useful, while still complying with legislative requirements.