Abstract
The “doctor in the loop” is a new paradigm in information driven medicine, picturing the doctor as authority inside a loop supplying an expert system with information on actual patients, treatment results and possible additional (side-)effects, as well as general information in order to enhance data driven medical science, as well as giving back treatment advice to the doctor himself. While this approach offers several positive aspects related to P4 medicine (personal, predictive, preventive and participatory), it also relies heavily on the authenticity of the data and increases the reliance on the security of databases, as well as on the correctness of machine learning algorithms. In this paper we propose a solution in order to protect the doctor in the loop against responsibility derived from manipulated data, thus enabling this new paradigm to gain acceptance in the medical community.
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