GOALI/Collaborative Research: Improving Patient Flow in Hospitals

GOALI/合作研究：改善医院的患者流动

• 批准号: 1762544
• 负责人: Jing Dong
• 金额: $ 4.72万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762544&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Improving; Patient

This Grant Opportunity for Academic Liaison with Industry (GOALI) Program award will advance the national health by reducing congestion and improving patient flow within hospital units and between hospitals. By developing models that predict flow dynamics and address sources of congestion, this project will improve patient safety and satisfaction, and at the same time reduce staffing and equipment costs to the hospital. Reduced congestion will also improve occupancy prediction, thus reducing ambulance diversions within the hospital network. This research employs novel modeling techniques that are informed by a close collaboration between the PIs and the GOALI partner, Northwestern Memorial Hospital (NMH). Models will be developed that are easy to calibrate and sufficiently general, so that their analyses and insights are applicable in a broad range of clinical settings within the hospital. The award provides support for graduate students to engage in research that will be of direct benefit to healthcare operations. The PIs will incorporate the results of their research in courses on queueing and service engineering. The outcomes of the research will be disseminated to both the operations research and the healthcare practitioner communities.This award supports research on multi-server queueing models, tailored specifically to hospital operations, that address key features of patient-flow dynamics. These features include bursty departures due to periodic discharge windows and non-stationary arrival processes. Because of the complexity of the dynamics, the research develops appropriate approximations for queueing phenomena based on fluid approximations during peak loads and infinite server approximations during lightly loaded periods. These methods, in conjunction with high-fidelity simulations, will be used to characterize long-run behavior of the patient-flow process, such as the maximum throughput of hospital units, and their (periodic) time-dependent equilibria behavior under different operational policies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个学术与工业联络（GOALI）计划奖的赠款机会将通过减少拥挤和改善医院单位内和医院之间的病人流量来促进国民健康。 通过开发预测流量动态和解决拥堵来源的模型，该项目将提高患者的安全性和满意度，同时降低医院的人员和设备成本。 减少拥挤也将改善占用预测，从而减少医院网络内的救护车分流。 这项研究采用了新的建模技术，这些技术是由PI和GOALI合作伙伴西北纪念医院（NMH）之间的密切合作所提供的。 将开发易于校准且足够通用的模型，以便其分析和见解适用于医院内广泛的临床环境。 该奖项为研究生提供支持，以从事对医疗保健业务直接有益的研究。 研究所将把他们的研究成果纳入有关制造和服务工程的课程中。 该研究的成果将被传播到两个运营研究和医疗从业者community.This奖项支持多服务器共享模型的研究，专门为医院运营量身定制，解决病人流量动态的关键特征。 这些特征包括由于周期性放电窗口和非平稳到达过程而引起的突发偏离。 由于动力学的复杂性，研究开发了适当的近似基于流体近似在峰值负载和无限服务器近似在轻载期间的振荡现象。 这些方法，结合高保真度模拟，将被用来表征病人流量过程的长期行为，如医院单位的最大吞吐量，以及它们在不同操作政策下的（周期性）时间依赖平衡行为。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Managing Queues with Different Resource Requirements

管理具有不同资源要求的队列

• DOI: 10.1287/opre.2022.2284
• 发表时间: 2022
• 期刊: Operations Research
• 影响因子: 2.7
• 作者: Zychlinski, Noa;Chan, Carri W.;Dong, Jing
• 通讯作者: Dong, Jing

What Causes Delays in Admission to Rehabilitation Care? A Structural Estimation Approach

是什么导致康复护理入院延迟？

• DOI: 10.1287/msom.2022.0377
• 发表时间: 2024
• 期刊: Manufacturing & Service Operations Management
• 作者: Dong, Jing;Görgülü, Berk;Sarhangian, Vahid
• 通讯作者: Sarhangian, Vahid

Queueing Models for Patient-Flow Dynamics in Inpatient Wards

住院病房患者流动动态的排队模型

• DOI: 10.1287/opre.2019.1845
• 发表时间: 2020
• 期刊: Operations Research
• 影响因子: 2.7
• 作者: Dong, Jing;Perry, Ohad
• 通讯作者: Perry, Ohad

A survey on skill-based routing with applications to service operations management

• DOI: 10.1007/s11134-020-09669-5
• 发表时间: 2020-10-04
• 期刊: QUEUEING SYSTEMS
• 影响因子: 1.2
• 作者: Chen, Jinsheng;Dong, Jing;Shi, Pengyi
• 通讯作者: Shi, Pengyi