Using patient journey archetypes and greedy maximum coverage to solve travel friction in Kansas diabetes care.
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Updated
May 6, 2026 - Python
Using patient journey archetypes and greedy maximum coverage to solve travel friction in Kansas diabetes care.
Wesleyan DataFest 2026 (Team 13) — analysis of how transportation barriers in Stormont Vail Health EHR data drive 3× higher emergency-department use. R + DuckDB pipeline over 7.6M encounters, 947K patients.
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