Analysis of EHRs for research, quality management and health politics.
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.
Gall
Walter
W
Section of Medical Information and Retrieval Systems, Core Unit for Medical Statistics, and Informatics, Medical University of Vienna, Vienna, Austria. walter.gall@meduniwien.ac.at
Grossmann
Wilfried
W
Duftschmid
Georg
G
Wrba
Thomas
T
Dorda
Wolfgang
W
D001317:Austria; D003628:Database Management Systems / Q000458:organization & administration; D006291:Health Policy; D006751:Hospital Information Systems / Q000458:organization & administration; D006785:Hospitals, University; D006801:Humans; D016247:Information Storage and Retrieval; D008498:Medical Record Linkage; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D012106:Research; D018511:Systems Integration; D017749:Total Quality Management / Q000458:organization & administration*