Code and Data for "Detecting Potential Overbilling in Medicare Reimbursements via Hours Worked: Comment"

Version
1
Resource Type
Dataset : aggregate data, event/transaction data, program source code
Creator
  • Matsumoto, Brett (United States Department of Labor. Bureau of Labor Statistics)
Publication Date
2020-11-23
Description
  • Abstract

    Code and data for "Detecting Potential Overbilling in Medicare Reimbursement via Hours Worked: Comment"

    Abstract: Fang and Gong (2017) develop a procedure to detect potential overbilling of Medicare by physicians. In their empirical analysis, they use aggregated claims data that can overstate the number of services performed due to features Medicare billing. In this comment, I show how auditors can use detailed claims level data to better target improper overbilling.
Temporal Coverage
  • 2013-01-01 / 2013-12-31
    Time Period: Tue Jan 01 00:00:00 EST 2013--Tue Dec 31 00:00:00 EST 2013 (2013)
Geographic Coverage
  • United States
Availability
Download
This study is freely available to the general public via web download.
Relations
  • Is version of
    DOI: 10.3886/E119829

Update Metadata: 2020-11-23 | Issue Number: 1 | Registration Date: 2020-11-23