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.
|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||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|