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  • Broschiertes Buch

Medical record databases are longitudinal patient record databases that are used by health care providers in caring for their patients and that are anonymized for the purpose of research. Data from such retrospective databases allow for investigations of specific subpopulations, thanks to their size and the length of time covered by them. The Disease Analyzer database (QuintilesIMS) is one of the major European databases. It encompasses real-world data in primary care practices. The Disease Analyzer database has been the basis of a large number of peer-reviewed scientific publications. This…mehr

Produktbeschreibung
Medical record databases are longitudinal patient record databases that are used by health care providers in caring for their patients and that are anonymized for the purpose of research. Data from such retrospective databases allow for investigations of specific subpopulations, thanks to their size and the length of time covered by them. The Disease Analyzer database (QuintilesIMS) is one of the major European databases. It encompasses real-world data in primary care practices. The Disease Analyzer database has been the basis of a large number of peer-reviewed scientific publications. This book presents several epidemiological and health-economic studies based on the Disease Analyzer database that were published between 2010 and 2016. The book will appeal to all medical, public health and health economic students who want to see examples of studies based on electronic medical records. Clinical and market access departments of pharma companies may also find this book a useful resource.
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Autorenporträt
Silvia Dombrowski is a research consultant with the epidemiology team of QuintilesIMS in Frankfurt am Main. She has a diploma in medical documentation and computer science from the University of Applied Science in Ulm. She is responsible for developing and managing evidence-based medicine projects and solutions.