Use of algorithms for identifying patients in a German claims database: learnings from a lung cancer case

Use of algorithms for identifying patients in a German claims database: learnings from a lung cancer case

Abstract Background The analysis of statutory health insurance (SHI) data is a little-used approach for understanding treatment and care as well as resource use of lung cancer (LC) patients in Germany. The aims of this observational, retrospective, longitudinal analysis of structured data were to an...

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Bibliographic Details
Main Authors: Sina Neugebauer, Frank Griesinger, Sabine Dippel, Stephanie Heidenreich, Nina Gruber, Detlef Chruscz, Sebastian Lempfert, Peter Kaskel
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Health Services Research
Subjects:
Lung cancer
ICD-10-GM classification
Real-world data (RWD)
Cancer classification
NSCLC
SCLC
Online Access:https://doi.org/10.1186/s12913-022-07982-8

Internet

https://doi.org/10.1186/s12913-022-07982-8

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