Author : Paul Michael Cronin
Publisher :
ISBN 13 :
Total Pages : 370 pages
Book Rating : 4.:/5 (125 download)
Book Synopsis Essays on Decision Science with Applications to Humanitarian Logistics and Healthcare by : Paul Michael Cronin
Download or read book Essays on Decision Science with Applications to Humanitarian Logistics and Healthcare written by Paul Michael Cronin and published by . This book was released on 2020 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation comprises a collection of essays on using decision science methods for decision-making under uncertainty with applications to operations management and healthcare. The first chapter provides an introduction to contemporary problems facing business leaders in healthcare and retail and how decision science methods are used to inform decision makers and contribute to the existing literature. The second chapter introduces a decision-theoretic approach to managing inventory during hurricane events using consumer demand estimates. Econometric models are developed to estimate baseline consumer demand for products that are critical during hurricane disasters. A state-space model leverages the econometric results and national weather data to estimate demand distributions for different hurricane threats. A two-stage stochastic dynamic programming model is solved as a mixed-integer problem to allocate inventory to retail stores before the storm hits. Patient-focused care has taken center stage in the healthcare system’s attempts to revolutionize healthcare delivery via improved patient outcomes and hospital operations. Chapter three examines how the recent collaborative care approach in inpatient medicine is impacting patient length of stay, readmission rates, and discharge planning. Elastic net regression is used to estimate the marginal effect of collaborative care on length of stay while controlling for physician learning and patient diagnosis in a novel way. Logistic regression is employed to model readmission rates and discharge planning. These results contribute quantitative empirical results on collaborative care to the medical and healthcare operations literature. The fourth chapter focuses on a different aspect of patient-focused care through the geographic localization of patient beds with different admission protocols. Both geographic localization and bed assignment problems have been studies in recent years, but this is one of the first papers to study the two combined. Working with a Texas teaching hospital, we used stochastic discrete event simulation to model the hospital’s approach while finding generalizable insights into how geographic localization can and cannot work with call rotation scheduling