Big Data analysis gains more and more interest in the processing of e-Healthdata. The potentially big benefit of those analyses comes with a set of newunknown impacts to an individual’s privacy. Still it is important to find a balancebetween privacy impact and utility of the medical data analysis. To achieve this,this technical report takes a look on different privacy preserving techniques,that could be used for a privacy preserving research interface for medical data.The three techniques Differential privacy,k-Anonymity and Secure multi-partyComputation are evaluated on their feasibility for a medical use-case. Withthose preliminaries some formal definitions are made for a privacy preservingresearch interface which implements an hybrid approach of the three techniquesand a consent based interface.