Data quality aspects of a database for abdominal septic shock patients.
Since many years, medical researchers have investigated the mechanisms that may cause a septic shock. Despite many approaches that analyzed smaller parts of the relevant data or single variables, respectively, no larger database with all the possible relevant data existed. Our work was to bridge this gap. We built a large database for abdominal septic shock patients. While building it, we were confronted with many problems concerning the database realization and the data quality. Thus, we will demonstrate how we built our database and how we assured data quality. This is of interest for all medical or computer scientists who are concerned with building medical databases with retrospective data, e.g. for data mining purposes.
Paetz
Jürgen
J
Zentrum der Chirurgie, Klinikum der J.W. Goethe-Universität Frankfurt am Main, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany. paetz@informatik.uni-frankfurt.de
Arlt
Björn
B
Erz
Kerstin
K
Holzer
Katharina
K
Brause
Rüdiger
R
Hanisch
Ernst
E
D000005:Abdomen / Q000503:physiopathology*; D003628:Database Management Systems; D005858:Germany; D006236:Handwriting; D006801:Humans; D016247:Information Storage and Retrieval; D008499:Medical Records; D012107:Research Design; D012189:Retrospective Studies; D012772:Shock, Septic / Q000209:etiology*