CareLit Fachartikel

Data Privacy Compliant Validation of Health Insurance Claims Data: the IDOMENEO Approach

Behrendt, C.; Schwaneberg, T.; Hischke, S.; Müller, T.; Petersen, T.; Marschall, U.; Debus, S.; Kriston, L. · Das Gesundheitswesen · 2019 · Heft S 02 · S. S94 bis S100

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575352
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Jahr
2019
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Bibliografische Angaben

Zeitschrift
Das Gesundheitswesen
Autor:innen
Behrendt, C.; Schwaneberg, T.; Hischke, S.; Müller, T.; Petersen, T.; Marschall, U.; Debus, S.; Kriston, L.
Ausgabe
Heft S 02 / 2019
Jahrgang 81
Seiten
S94 bis S100
Erschienen: 2019-05-23 13:00:00
ISSN
0941-3790

Zusammenfassung

Recently, health insurance claims have regained the attention of the scientific community as a source of real-world evidence in health care research and quality improvement. To date, very few studies are available which investigate the validity of health insurance claims; these may be affected by bias from several sources, such as possible upcoding of co-morbidities and complications for reimbursement advantages. The IDOMENEO study investigates the inpatient treatment of peripheral arterial disease (PAD) comprehensively using various data sources with a consortium involving experts from health care research and…

Schlagworte

Germany Population Bias Computer Attention Biostatistik Comorbidity Data Mining Deutschland Algorithms Mining Work Krankenversicherung Diagnosis-Related Groups Data Collection Aufmerksamkeit