Applying a data-driven population segmentation approach in German claims data

Background Segmenting the population into homogenous groups according to their healthcare needs may help to understand the population’s demand for healthcare services and thus support health systems to properly allocate healthcare resources and plan interventions. It may also help to reduce the frag...

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Veröffentlicht in:	BMC health services research Jg. 23; H. 1; S. 591 - 11
Hauptverfasser:	Pioch, Carolina, Henschke, Cornelia, Lantzsch, Hendrikje, Busse, Reinhard, Vogt, Verena
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 08.06.2023 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Age Ambulatory care Analysis Care and treatment Claims data Cluster analysis Datasets Disease Emergency medical care Family physicians Health Administration Health Informatics Health insurance Health services Health services utilization Healthcare utilisation Hospitals Long term health care Medical care Medical care, Cost of Medicine Medicine & Public Health Methods Nursing Research Patients Population health Population segmentation Primary care Public Health Utilization Variables Germany United Kingdom > UK England Cluster analysis Population segmentation Claims data Healthcare utilisation Population health
ISSN:	1472-6963, 1472-6963
Online-Zugang:	Volltext
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