Detecting potential overbilling in medicare reimbursement via hours worked: Comment (Record no. 517633)

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fixed length control field 00974nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210722b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Matsumoto, Brett
245 ## - TITLE STATEMENT
Title Detecting potential overbilling in medicare reimbursement via hours worked: Comment
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc The American Economic Review
300 ## - PHYSICAL DESCRIPTION
Extent 110(12), Dec, 2020: p.3991-4003
520 ## - SUMMARY, ETC.
Summary, etc 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 of Medicare billing. In this comment, I show how auditors can use detailed claims-level data to better target improper Medicare by physicians. – Reproduced
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicare, Physicians, Medicare overbilling, Health - Government policy, Health regulation, Public health
9 (RLIN) 27324
773 ## - HOST ITEM ENTRY
Main entry heading The American Economic Review
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
Subject DIP HEALTH SERVICES
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2021-07-22 110(12), Dec, 2020: p.3991-4003 AR124909 2021-07-22 Articles

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