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Disparities in Prioritization and Admission Decisions in Emergency Departments /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Disparities in Prioritization and Admission Decisions in Emergency Departments /Peter Lin.
Author:	Lin, Peter,
Description:	1 electronic resource (120 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-06, Section: A.
Notes:	Advisors: Argon, Nilay T.; Ziya, Serhan Committee members: Chen, Guanting; Liu, Yufeng; Patel, Mehul D.
Contained By:	Dissertations Abstracts International86-06A.
Subject:	Statistics.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31564037
ISBN:	9798346867845

Disparities in Prioritization and Admission Decisions in Emergency Departments /
Lin, Peter,

Disparities in Prioritization and Admission Decisions in Emergency Departments /Peter Lin. - 1 electronic resource (120 pages)

Source: Dissertations Abstracts International, Volume: 86-06, Section: A.

Emergency departments (EDs) in the U.S. and around the world face numerous challenges. Of particular note is understanding and addressing demographic disparities associated with various decisions in an effort to provide equitable treatment to all patients. In this dissertation, we first investigate the rooming prioritization decision by examining and comparing timestamps within electronic health record (EHR) data by means of weighted logistic regression and matched 1:M case-control logistic regression. Our results show that demographic factors remain significant even after accounting for differences in patient and ED operational conditions. We then examine the disposition decision and determine which patient characteristics are more important as part of that decision with random forests and logistic regression. Finally, using a priority queueing system we investigate the impact of erroneous triage decisions in emergency departments from both operational efficiency and disparity points of view. We analyze several different priority policies and find that, particularly in crowded systems, some of these policies can be used to keep disparities mostly under control without sacrificing significant operational efficiency.

English

ISBN: 9798346867845Subjects--Topical Terms:

182057
Statistics.
Subjects--Index Terms:

Electronic health record

Disparities in Prioritization and Admission Decisions in Emergency Departments /
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500 $a Source: Dissertations Abstracts International, Volume: 86-06, Section: A.
500 $a Advisors: Argon, Nilay T.; Ziya, Serhan Committee members: Chen, Guanting; Liu, Yufeng; Patel, Mehul D.
502 $b Ph.D. $c The University of North Carolina at Chapel Hill $d 2024.
520 $a Emergency departments (EDs) in the U.S. and around the world face numerous challenges. Of particular note is understanding and addressing demographic disparities associated with various decisions in an effort to provide equitable treatment to all patients. In this dissertation, we first investigate the rooming prioritization decision by examining and comparing timestamps within electronic health record (EHR) data by means of weighted logistic regression and matched 1:M case-control logistic regression. Our results show that demographic factors remain significant even after accounting for differences in patient and ED operational conditions. We then examine the disposition decision and determine which patient characteristics are more important as part of that decision with random forests and logistic regression. Finally, using a priority queueing system we investigate the impact of erroneous triage decisions in emergency departments from both operational efficiency and disparity points of view. We analyze several different priority policies and find that, particularly in crowded systems, some of these policies can be used to keep disparities mostly under control without sacrificing significant operational efficiency.
546 $a English
590 $a School code: 0153
650 4 $a Statistics. $3 182057
650 4 $a Information science. $3 190425
653 $a Electronic health record
653 $a Emergency departments
653 $a Operational efficiency
690 $a 0796
690 $a 0463
690 $a 0723
710 2 $a The University of North Carolina at Chapel Hill. $b Statistics and Operations Research. $e degree granting institution. $3 990207
720 1 $a Argon, Nilay T. $e degree supervisor.
720 1 $a Ziya, Serhan $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-06A.
790 $a 0153
791 $a Ph.D.
792 $a 2024
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31564037