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Mining Pharmaceutical Product Data Related to Payment Pattern from the CMS Open Payments Data: A Case Study in Thoracic Surgery.
Na, Xu; Guo, Haihong; Wu, Sizhu; Li, Jiao.
Afiliación
  • Na X; Institute of Medical Information / Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Guo H; Institute of Medical Information / Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Wu S; Institute of Medical Information / Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Li J; Institute of Medical Information / Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Stud Health Technol Inform ; 264: 1554-1555, 2019 Aug 21.
Article en En | MEDLINE | ID: mdl-31438228
This study used descriptive statistical analyses to investigate the payment characteristics and to discuss the regularity of highest paying industries. Payments by 4.70% of highest paying industries (N=446) accounted for 85% of the total (US $72,458,304) in 2014-2016. A tiny minority of highest paying industries control the majority of payments. Large payments from these industries are highly associated with few specific products. Furthermore, payment patterns among the industries include concentration and diversification.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Torácica / Industria Farmacéutica País/Región como asunto: America do norte Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cirugía Torácica / Industria Farmacéutica País/Región como asunto: America do norte Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos