A personalized medical information system

  • Authors:

  • Sebastian Klenk;Jürgen Dippon;Peter Fritz;Gunther Heidemann

  • Affiliations:

  • Stuttgart University, Stuttgart, Germany;Stuttgart University, Stuttgart, Germany;IDM-Foundation, Stuttgart, Germany;Stuttgart University, Stuttgart, Germany

  • Venue:
  • Proceedings of the 3rd Workshop on Software Engineering in Health Care
  • Year:
  • 2011

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Abstract

Shared decision making is not just a question of collecting enough information, but mostly of gathering the right information and evaluating it correctly. The ever growing amount of available data and the constantly increasing specialization in medicine makes it almost impossible for a patient to get personalized medical information even though this is crucial for a self determined decision. We therefore propose a system that combines epidemiological data, personal medical data, personal data and publicly available data to form one central source of information. We argue that, with currently available methods and data, a patient adapted information system is attainable.