Too long for comfort: Tackling consultation wait time at a hospital emergency department

In early 2019, Alan Jay, an executive in the Quality, Safety and Risk Management (QSRM) department of Gloria Hospital, a full-service hospital that specialised in children and women healthcare, had been requested to gather insights and seek improvements to the pre-consultation waits at the hospital’...

全面介紹

Saved in:
書目詳細資料
Main Authors: ANG, Marcus, HU, Arthur Ruey Heng, LAM, Sean Shao Wei
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2020
主題:
在線閱讀:https://ink.library.smu.edu.sg/cases_coll_all/357
https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-20-BATCH%20%5BPDF-Pic%5D/SMU-20-0027%20%5BGloria%20H%5D/SMU-20-0027%20%5BGloria%20H%5D.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Singapore Management University
語言: English
實物特徵
總結:In early 2019, Alan Jay, an executive in the Quality, Safety and Risk Management (QSRM) department of Gloria Hospital, a full-service hospital that specialised in children and women healthcare, had been requested to gather insights and seek improvements to the pre-consultation waits at the hospital’s Children’s Emergency (CE) department. After an initial study, minor schedule adjustments were put into place, with many shifts starting one hour in advance to reduce snowballing of patients awaiting consultation. However, post-implementation data suggested that the patient load to capacity ratios remained uneven across each day of the week. Subsequently, a team of operations professors and students were assembled to join Jay in a second phase of the Children’s Emergency Consultation Queue (CECQ) project, started April 2019, to better understand the actual waiting time of patients at the CE. This case can be used in undergraduate and graduate classes to illustrate the effectiveness of mathematical programming in a healthcare setting, and appreciate the balance between an operations approach and a service approach. Students are expected to derive a suitable model to determine a scheduling policy. The case reinforces the students’ skills in data processing, mathematical modelling, and numerical computation.