| 000 | 00974nam a22001577a 4500 | ||
|---|---|---|---|
| 999 |
_c517633 _d517633 |
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| 008 | 210722b ||||| |||| 00| 0 eng d | ||
| 100 |
_aMatsumoto, Brett _927568 |
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| 245 | _aDetecting potential overbilling in medicare reimbursement via hours worked: Comment | ||
| 260 | _aThe American Economic Review | ||
| 300 | _a110(12), Dec, 2020: p.3991-4003 | ||
| 520 | _aFang 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 |
_aMedicare, Physicians, Medicare overbilling, Health - Government policy, Health regulation, Public health _927324 |
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| 773 | _aThe American Economic Review | ||
| 906 | _aHEALTH SERVICES | ||
| 942 | _cAR | ||