Reconciling data structures in health information systems for research in a European clinical registry.
The use of both, retrospective and prospective data obtained from the health care process in biomedical research meets with problems related to the respective data structures used in different health information processing systems. This issue is explored in an exemplified clinical registry for antiviral resistance. Essentially, the data structure used in clinical systems or data capture systems conflicts with the requirements of many established methods of statistical analysis. To resolve this problem efficiently, a set of generic transformations is proposed.
Müller
Thomas H
TH
Institute for Medical Informatics, Biometry and Epidemiology, University of Munich, Germany.
D000998:Antiviral Agents / Q000627:therapeutic use; D003195:Computer Communication Networks; D003625:Data Collection; D003628:Database Management Systems; D024882:Drug Resistance, Viral; D005060:Europe; D006525:Hepatitis, Viral, Human / Q000188:drug therapy; D006801:Humans; D016247:Information Storage and Retrieval; D008492:Medical Informatics Computing; D016347:Medical Records Systems, Computerized; D012042:Registries; D012106:Research; D012984:Software; D018511:Systems Integration
D000998:Antiviral Agents