An integrated framework for reducing hospital readmissions using risk trajectories characterization and discharge timing optimization-Reference-Cited by-同舟云学术

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An integrated framework for reducing hospital readmissions using risk trajectories characterization and discharge timing optimization

Published:2019-04-03 Issue:2 Volume:9 Page:172-185
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Alaeddini Adel¹,Helm Jonathan E.²,Shi Pengyi³,Faruqui Syed Hasib Akhter¹

Affiliation:

1. Department of Mechanical Engineering, University of Texas at San Antonio, San Antonio, Texas, USA;

2. Department of Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, Indiana, United States;

3. Krannert School of Management, Purdue University, West Lafayette, Indiana, United States

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2019.1584133

Reference27 articles.

1. The impact of hospital utilization on patient readmission rate

2. Examining the discharge practices of surgeons at a large medical center

3. Dynamic Control of an M/M/1 Service System with Adjustable Arrival and Service Rates

4. Bartel, A. P., Chan, C. W., and Kim, S-H. H. (2014) Should hospitals keep their patients longer? the role of inpatient care in reducing post-discharge mortality. Tech. rep., National Bureau of Economic Research.

5. Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30)

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