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Data and Code for: Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked

Version
V0
Resource Type
Dataset
Creator
  • Fang, Hanming (University of Pennsylvania)
  • Gong, Qing (University of Pennsylvania)
Publication Date
2020-05-22
Description
  • Abstract

    We propose a novel and easy-to-implement approach to detect potential overbilling based on the hours worked implied by the service codes which physicians submit to Medicare. Using the Medicare Part B Fee-for-Service (FFS) Physician Utilization and Payment Data in 2012 and 2013 released by the Centers for Medicare and Medicaid Services, we construct estimates for physicians' hours spent on Medicare beneficiaries. We find that about 2,300 physicians, representing about 3 percent of those with 20 or more hours of Medicare Part B FFS services, have billed Medicare over 100 hours per week. We consider these implausibly long hours.

Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20160349 (Text)
Publications
  • Fang, Hanming, and Qing Gong. “Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked.” American Economic Review 107, no. 2 (February 2017): 562–91. https://doi.org/10.1257/aer.20160349.
    • ID: 10.1257/aer.20160349 (DOI)

Update Metadata: 2020-05-22 | Issue Number: 1 | Registration Date: 2020-05-22

Fang, Hanming; Gong, Qing (2020): Data and Code for: Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E119565