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Mining Pharmaceutical Product Data Related to Payment Pattern from the CMS Open Payments Data: A Case Study in
Xu Na1, Haihong Guo1, Sizhu Wu1
1Institute of Medical Information / Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
A small group of top-paying industries dominate industry payments, with large sums linked to specific products. Payment patterns show both concentration and diversification among these high-paying sectors.
Area of Science:
- Economics
- Industry Analysis
- Financial Markets
Background:
- Understanding payment dynamics in industries is crucial for economic analysis.
- Identifying key players and their financial behaviors provides market insights.
Purpose of the Study:
- To analyze payment characteristics of highest paying industries.
- To investigate the regularity and patterns of these significant financial flows.
Main Methods:
- Descriptive statistical analyses were employed.
- Data from 2014-2016 were examined to identify payment trends.
Main Results:
- A small fraction (4.70%) of highest paying industries accounted for 85% of total payments (US $72,458,304).
- Large payments were strongly correlated with a limited number of specific products.
- Observed payment patterns included both concentration and diversification.
Conclusions:
- A concentrated minority of industries significantly influences overall payment volumes.
- Product specificity is a key driver for substantial payments from top industries.
- Industry payment behaviors exhibit complex patterns of concentration and diversification.
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