Information management for enabling systems medicine
This brief paper by Ganzinger and Knaup examines the state of systems medicine, where multiple medical data streams are merged, analyzed, modeled, etc. to further how we diagnose and treat disease. They discuss the dynamic nature of disease knowledge and clinical data, as well as the problems that arise from integrating omics data into systems medicine, under the umbrella of integrating the knowledge into a usable format in tools like a clinical decision support system. They conclude that though with many benefits, “special care has to be taken to address inherent dynamics of data that are used for systems medicine; over time the number of available health records will increase and treatment approaches will change.” They add that their data management model is flexible and can be used with other data management tools.