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  4. Medical Inter-Specialty Referral Networks
 
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2021
Conference Paper
Title

Medical Inter-Specialty Referral Networks

Abstract
Motivated by their increasing popularity and usefulness in the English-speaking world, we model and analyze patient referral networks for medical specialties based on Germany-wide claims data from the fourth quarter of 2015. Based on the average values of local graph measures, different groups of medical specialties could be distinguished. Family physicians have almost perfect average out-degree and closeness centrality. Based on the principal components applied to local graph measures, four clusters of local medical specialties could be identified, that are characteristic for (1) orthopedists, surgeons, otolaryngologists, dermatologists, and internists; (2) non-medical psychotherapists, pediatricians, gynecologists, and ophthalmologists; (3) only family physicians in Bremen and internists in Hamburg and Saarland; (4) the remaining family physicians. This study can serve as a basis for further network simulations and monitoring to achieve the desired health care outcomes, optimal resource allocation and protection against infections.
Author(s)
Ermakova, Tatiana  
Weizenbaum-Institut, Berlin
Benjamin, Fabian
Technische Hochschule Wildau  
Erhart, Michael
Alice Salomon Hochschule Berlin
Czihal, Thomas
Zentralinstitut für die kassenärztliche Versorgung in Deutschland -Zi-
Stillfried, Dominik von
Zentralinstitut für die kassenärztliche Versorgung in Deutschland -Zi-
Mainwork
IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops and Special Sessions 2021. Proceedings  
Project(s)
Weizenbaum-Institut für die vernetzte Gesellschaft - Das deutsche Internet-Institut - 2. Aufbauphase - WI; Teilvorhaben: FOKUS  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
International Conference on Web Intelligence and Intelligent Agent Technology 2021  
DOI
10.1145/3498851.3498930
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Fraunhofer Group
Fraunhofer-Verbund IUK-Technologie  
Keyword(s)
  • Behavior modelling

  • Medical specialties

  • Referral networks

  • Graph analysis

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