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 analyze the healthcare situation of LC patients in Germany based on routine data from SHI funds, to develop an algorithm that sheds light on LC types (non-small cell / NSCLC vs. small cell / SCLC), and to gain new knowledge to improve needs-based care.

Methods

Anonymized billing data of approximately four million people with SHI were analyzed regarding ICD-10 (German modification), documented medical interventions based on the outpatient SHI Uniform Assessment Standard Tariff (EBM) or the in

SUBMITTER: Neugebauer S 

PROVIDER: S-EPMC9241287 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature