國立虎尾科技大學 |

登入

回首頁

Modelling Hospital Surge with Data-D...

ProQuest Information and Learning Co.

Modelling Hospital Surge with Data-Driven Discrete Event Simulation.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Modelling Hospital Surge with Data-Driven Discrete Event Simulation./
作者:	Busby, Carolyn Ruth.
面頁冊數:	1 online resource (188 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Contained By:	Dissertation Abstracts International79-12B(E).
標題:	Industrial engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780438187184

Modelling Hospital Surge with Data-Driven Discrete Event Simulation.
Busby, Carolyn Ruth.

Modelling Hospital Surge with Data-Driven Discrete Event Simulation. - 1 online resource (188 pages)

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

Thesis (Ph.D.)--University of Toronto (Canada), 2018.

Includes bibliographical references

Many Canadian hospitals run at or near capacity, frequently experiencing congestion due to surges in demand. "Surge Protocols" that formally define when and what kind of operational steps can be taken to alleviate congestion are routinely in use. Decisions across the hospital, regarding bed capacity and allocation, staffing levels, and the surgical block schedule influence the frequency and severity of congestion, which in turn manifests in high bed occupancy, delayed admissions, a crowded Emergency Department, surgical cancellations and increased use of surge protocols. A generic, data-driven, discrete event simulation is presented that helps hospitals assess the impact of hospital wide decisions and surge policies on each area of the hospital. The model was developed in cooperation with two hospitals, and then applied at two additional hospitals.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438187184Subjects--Topical Terms:

679492
Industrial engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Modelling Hospital Surge with Data-Driven Discrete Event Simulation.
LDR:02114ntm a2200349Ki 4500 001 918355
005 20181114145236.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780438187184
035 $a (MiAaPQ)AAI10745952
035 $a (MiAaPQ)toronto:17242
035 $a AAI10745952
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Busby, Carolyn Ruth. $3 1192657
245 1 0 $a Modelling Hospital Surge with Data-Driven Discrete Event Simulation.
264 0 $c 2018
300 $a 1 online resource (188 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 $a Adviser: Michael W. Carter.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2018.
504 $a Includes bibliographical references
520 $a Many Canadian hospitals run at or near capacity, frequently experiencing congestion due to surges in demand. "Surge Protocols" that formally define when and what kind of operational steps can be taken to alleviate congestion are routinely in use. Decisions across the hospital, regarding bed capacity and allocation, staffing levels, and the surgical block schedule influence the frequency and severity of congestion, which in turn manifests in high bed occupancy, delayed admissions, a crowded Emergency Department, surgical cancellations and increased use of surge protocols. A generic, data-driven, discrete event simulation is presented that helps hospitals assess the impact of hospital wide decisions and surge policies on each area of the hospital. The model was developed in cooperation with two hospitals, and then applied at two additional hospitals.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Industrial engineering. $3 679492
650 4 $a Operations research. $3 573517
650 4 $a Health care management. $3 1148454
655 7 $a Electronic books. $2 local $3 554714
690 $a 0546
690 $a 0796
690 $a 0769
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Toronto (Canada). $b Mechanical and Industrial Engineering. $3 845502
773 0 $t Dissertation Abstracts International $g 79-12B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10745952 $z click for full text (PQDT)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別