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Open Access Journal Article

Healthcare Operations Research and Statistical Analysis

by Sarah Smith 1,*
1
Sarah Smith
*
Author to whom correspondence should be addressed.
ORS  2020 2(2):14; https://doi.org/10.69610/j.ors.20201113
Received: 18 September 2020 / Accepted: 23 October 2020 / Published Online: 13 November 2020
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Abstract

This paper delves into the critical intersection of healthcare operations research and statistical analysis, exploring how these two disciplines can significantly enhance the efficiency and effectiveness of healthcare delivery systems. The synthesis of operations research techniques, which optimize processes and resource allocation, with advanced statistical analysis tools allows for the identification of patterns, trends, and insights within vast healthcare datasets. The study examines various methodologies employed in healthcare operations research, including queuing theory, simulation modeling, and optimization algorithms, and assesses their integration with statistical analysis for predictive modeling, decision-making, and performance evaluation. The paper further discusses the challenges faced in applying these methodologies due to the complexity and heterogeneity of healthcare data, and proposes solutions for improving data quality and integration. Additionally, it provides case studies highlighting the practical application of these techniques in improving patient outcomes, reducing costs, and enhancing operational efficiency.

Keywords: Healthcare Operations Research; Statistical Analysis; Predictive Modeling; Process Optimization; Performance Evaluation.;
Copyright: © 2020 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Smith, S. (2020). Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics, 2(2), 14. doi:10.69610/j.ors.20201113
ACS Style
Smith, S. Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics, 2020, 2, 14. doi:10.69610/j.ors.20201113
AMA Style
Smith S. Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics; 2020, 2(2):14. doi:10.69610/j.ors.20201113
Chicago/Turabian Style
Smith, Sarah 2020. "Healthcare Operations Research and Statistical Analysis" Operations Research and Statistics 2, no.2:14. doi:10.69610/j.ors.20201113

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ACS Style
Smith, S. Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics, 2020, 2, 14. doi:10.69610/j.ors.20201113
AMA Style
Smith S. Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics; 2020, 2(2):14. doi:10.69610/j.ors.20201113
Chicago/Turabian Style
Smith, Sarah 2020. "Healthcare Operations Research and Statistical Analysis" Operations Research and Statistics 2, no.2:14. doi:10.69610/j.ors.20201113
APA style
Smith, S. (2020). Healthcare Operations Research and Statistical Analysis. Operations Research and Statistics, 2(2), 14. doi:10.69610/j.ors.20201113

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