Characterizing Physician Referral Networks with Ricci Curvature
BP2-STS
Published in:
- Communications in Computer and Information Science. - : Springer Nature Switzerland. - 2025, p. 1-16
English
Identifying (a) systemic barriers to quality healthcare access and (b) key indicators of care efficacy in the United States remains a significant challenge. To improve our understanding of regional disparities in care delivery, we introduce a novel application of curvature, a geometrical-topological property of networks, to Physician Referral Networks. Our initial findings reveal that Forman-Ricci and Ollivier-Ricci curvature measures, which are known for their expressive power in characterizing network structure, offer promising indicators for detecting variations in healthcare efficacy while capturing a range of significant regional demographic features. We also present apparent, an open-source tool that leverages Ricci curvature and other network features to examine correlations between regional Physician Referral Networks structure, local census data, healthcare effectiveness, and patient outcomes.
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Faculty
- Faculté des sciences et de médecine
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Department
- Département d'Informatique
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Language
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Classification
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Computer science and technology
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License
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CC BY
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Open access status
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hybrid
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Identifiers
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Persistent URL
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https://folia.unifr.ch/unifr/documents/332242
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