Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol
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Published in BMJ open (05.10.2020)
Published in BMJ open (05.10.2020)
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Understanding the biases to sepsis surveillance and quality assurance caused by inaccurate coding in administrative health data
Schwarzkopf, Daniel, Rose, Norman, Fleischmann-Struzek, Carolin, Boden, Beate, Dorow, Heike, Edel, Andreas, Friedrich, Marcus, Gonnert, Falk A., Götz, Jürgen, Gründling, Matthias, Heim, Markus, Holbeck, Kirill, Jaschinski, Ulrich, Koch, Christian, Künzer, Christian, Le Ngoc, Khanh, Lindau, Simone, Mehlmann, Ngoc B., Meschede, Jan, Meybohm, Patrick, Ouart, Dominique, Putensen, Christian, Sander, Michael, Schewe, Jens-Christian, Schlattmann, Peter, Schmidt, Götz, Schneider, Gerhard, Spies, Claudia, Steinsberger, Ferdinand, Zacharowski, Kai, Zinn, Sebastian, Reinhart, Konrad
Published in Infection (01.04.2024)
Published in Infection (01.04.2024)
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