Lifelong electronic health records can supply valuable information for research, quality management and health politics in addition to supporting treatment of patients. Based on experiences with scientific data analysis in a university hospital environment, requirements on cross-institutional analysis of electronic health records in a healthcare system are discussed. The concept of archetypes can play a key role in this context. Archetypes can be utilized in data analysis for visualization, semantic linkage and finally for standardized data transfer.
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