東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Heuristic scheduling for clinical ph...

Banet, Dustin.

FindBook

Google Book

Amazon

博客來

Heuristic scheduling for clinical physicians.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Heuristic scheduling for clinical physicians./
作者:	Banet, Dustin.
面頁冊數:	43 p.
附註:	Source: Masters Abstracts International, Volume: 48-06, page: 3825.
Contained By:	Masters Abstracts International48-06.
標題:	Applied Mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1485161
ISBN:	9781124098357

Heuristic scheduling for clinical physicians.
Banet, Dustin.

Heuristic scheduling for clinical physicians. - 43 p.

Source: Masters Abstracts International, Volume: 48-06, page: 3825.

Thesis (M.Eng.)--University of Louisville, 2010.

Personnel scheduling is a problem faced by many organizations in the healthcare industry, particularly in rapidly developing outpatient centers. The task of creating a schedule that adequately covers patient demand while satisfying the preferences of employees, observing work regulations, and ensuring a fair distribution of work is highly complex. Even though this highly complex task directly affects measures such as patient waiting time and employee satisfaction, many organizations still resort to the traditional and cumbersome manual solution methods. A large segment of prior research on personnel scheduling in healthcare focuses on nurse rostering and the development of automated tools to aid in scheduling. The drawbacks to these methods include the lack of generality and the need for specialized software packages and training. The aim of this study is the development of an effective, low cost, and uncomplicated heuristic tool to aid schedulers in outpatient centers. Solution methodologies used by previous researchers in problems such as nurse rostering and aircrew rostering are adapted to the particular problem of physician scheduling in mixed specialty outpatient clinics. The developed heuristic tool obtains an initial feasible solution using a greedy algorithm and then uses the simulated annealing metaheuristic to improve the solution, which is a measure of physician satisfaction. The heuristic tool developed in this study was tested using eight randomly generated data sets to model 45 unique cases. The heuristic found the optimal solution in 19 of the 45 tested cases. The average difference from the optimal physician satisfaction rating in the other 26 cases was 0.35%.

ISBN: 9781124098357Subjects--Topical Terms:

1669109
Applied Mathematics.

Heuristic scheduling for clinical physicians.
LDR:02552nam 2200289 4500 001 1403243
005 20111111141845.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124098357
035 $a (UMI)AAI1485161
035 $a AAI1485161
040 $a UMI $c UMI
100 1 $a Banet, Dustin. $3 1682498
245 1 0 $a Heuristic scheduling for clinical physicians.
300 $a 43 p.
500 $a Source: Masters Abstracts International, Volume: 48-06, page: 3825.
500 $a Adviser: Gail DePuy.
502 $a Thesis (M.Eng.)--University of Louisville, 2010.
520 $a Personnel scheduling is a problem faced by many organizations in the healthcare industry, particularly in rapidly developing outpatient centers. The task of creating a schedule that adequately covers patient demand while satisfying the preferences of employees, observing work regulations, and ensuring a fair distribution of work is highly complex. Even though this highly complex task directly affects measures such as patient waiting time and employee satisfaction, many organizations still resort to the traditional and cumbersome manual solution methods. A large segment of prior research on personnel scheduling in healthcare focuses on nurse rostering and the development of automated tools to aid in scheduling. The drawbacks to these methods include the lack of generality and the need for specialized software packages and training. The aim of this study is the development of an effective, low cost, and uncomplicated heuristic tool to aid schedulers in outpatient centers. Solution methodologies used by previous researchers in problems such as nurse rostering and aircrew rostering are adapted to the particular problem of physician scheduling in mixed specialty outpatient clinics. The developed heuristic tool obtains an initial feasible solution using a greedy algorithm and then uses the simulated annealing metaheuristic to improve the solution, which is a measure of physician satisfaction. The heuristic tool developed in this study was tested using eight randomly generated data sets to model 45 unique cases. The heuristic found the optimal solution in 19 of the 45 tested cases. The average difference from the optimal physician satisfaction rating in the other 26 cases was 0.35%.
590 $a School code: 0110.
650 4 $a Applied Mathematics. $3 1669109
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Health Sciences, Health Care Management. $3 1017922
690 $a 0364
690 $a 0546
690 $a 0769
710 2 $a University of Louisville. $3 1017614
773 0 $t Masters Abstracts International $g 48-06.
790 1 0 $a DePuy, Gail, $e advisor
790 $a 0110
791 $a M.Eng.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1485161