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Big Data und Real-World-Evidenz in der interdisziplinären PAVK-Behandlung

Eine kritische Bestandsaufnahme

Big data and real-world evidence in interdisciplinary treatment of PAOD

A critical stocktaking

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Zusammenfassung

Der wissenschaftliche Stellenwert von Register- und Routinedaten als sogenannte Real-World-Evidenz nimmt in der vaskulären Qualitätsentwicklung und Versorgungsforschung kontinuierlich zu. Durch schnell wachsende digitale Datenbestände und lernende Algorithmen zu deren Verarbeitung ergeben sich immer neue Möglichkeiten, die heute als Big Data oder Smart Data bezeichnet werden. Der große Bedarf an weiteren hochwertigen Studien zur Verbesserung der Evidenzbasis in der Behandlung der peripheren arteriellen Verschlusskrankheit kann durch randomisierte und kontrollierte Studien nicht vollständig gedeckt werden, weshalb die Einführung interdisziplinärer Register und die Nutzung von Routinedaten sinnvoll erscheint. Hierbei sollten allerdings die Vorteile und Limitationen gewissenhaft berücksichtigt werden. Vor dem Hintergrund einer grenzüberschreitenden internationalen Qualitätsentwicklung sollte zudem eine konsequente Harmonisierung bestehender Projekte mit Real-World-Evidenz erfolgen.

Abstract

The scientific value of so-called real-world evidence using registry and health insurance claims data in the vascular quality improvement and healthcare research is continuously increasing. Rapidly growing digital data volumes and sophisticated learning algorithms open up new possibilities, which are nowadays referred to as big data or smart data. Randomized and controlled trials alone obviously cannot cover the great need for high-value studies to improve the evidential basis in the treatment of peripheral arterial occlusive disease (PAOD). Thus, utilization of registry and health insurance claims data seems reasonable; however, the advantages and limitations of these data sources should be carefully considered. Against the backdrop of cross-border international quality improvement, a consistent harmonization of existing projects with real-world evidence should be pursued.

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Correspondence to C.-A. Behrendt.

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C.-A. Behrendt, H. C. Rieß und E. S. Debus geben an, dass kein Interessenkonflikt besteht.

Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.

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Behrendt, CA., Rieß, H.C. & Debus, E.S. Big Data und Real-World-Evidenz in der interdisziplinären PAVK-Behandlung. Gefässchirurgie 24, 13–20 (2019). https://doi.org/10.1007/s00772-018-0462-0

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  • DOI: https://doi.org/10.1007/s00772-018-0462-0

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