Abstract
Data envelopment analysis (DEA) has been widely used in health care to measure the technical efficiency of hospitals and other health care providers. Nevertheless, some practical problems still exist. Because a large proportion of hospitals tend to be rated as efficient, the need arises for further discrimination. We demonstrate the use of a new technique for increasing discrimination among efficient hospitals, termed multifactor efficiency. Our technique is shown to offer several advantages relative to traditional methods.
| Original language | English |
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| Pages | 55-57 |
| Number of pages | 3 |
| State | Published - 1 Jan 1998 |
| Event | Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) - San Diego, CA, USA Duration: 22 Nov 1997 → 25 Nov 1997 |
Other
| Other | Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) |
|---|---|
| City | San Diego, CA, USA |
| Period | 22/11/97 → 25/11/97 |