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Active steps to reduce administrative spending associated with financial transactions in US health care.
Sahni, Nikhil R; Gupta, Pranay; Peterson, Michael; Cutler, David M.
Afiliación
  • Sahni NR; Department of Economics, Harvard University, Cambridge, MA 02138, United States.
  • Gupta P; Center for US Healthcare Improvement, McKinsey & Company, Boston, MA 02210, United States.
  • Peterson M; Center for US Healthcare Improvement, McKinsey & Company, Boston, MA 02210, United States.
  • Cutler DM; Center for US Healthcare Improvement, McKinsey & Company, Boston, MA 02210, United States.
Health Aff Sch ; 1(5): qxad053, 2023 Nov.
Article en En | MEDLINE | ID: mdl-38756977
ABSTRACT
US health care administrative spending is approximately $1 trillion annually. A major operational area is the financial transactions ecosystem, which has approximately $200 billion in spending annually. Efficient financial transactions ecosystems from other industries and countries exhibit 2 features immediate payment assurance and high use of automation throughout the process. The current system has an average transaction cost of $12 to $19 per claim across private payers and providers for more than 9 billion claims per year; each claim on average takes 4 to 6 weeks to process and pay. For simple claims, the transaction cost is $7 to $10 across private payers and providers; for complex claims, $35 to $40. Prior authorization on approximately 5000 codes has an average cost of $40 to $50 per submission for private payers and $20 to $30 for providers. Interventions aligned with a more efficient financial transactions ecosystem could reduce spending by $40 billion to $60 billion; approximately half is at the organizational level (scaling interventions being implemented by leading private payers and providers) and half at the industry level (adopting a centralized automated claims clearinghouse, standardizing medical policies for a subset of prior authorizations, and standardizing physician licensure for a national provider directory).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Health Aff Sch Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Health Aff Sch Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido