Algorithms identifying low‐acuity emergency department visits: A review and validation study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Algorithms identifying low‐acuity emergency department visits: A review and validation study

Published:2022-06-06 Issue:4 Volume:57 Page:979-989
ISSN:0017-9124
Container-title:Health Services Research
language:en
Short-container-title:Health Services Research

Author:

Chen Angela T.¹²³^ORCID,Muralidharan Madhavi²,Friedman Ari B.²³

Affiliation:

1. Health Care Management Department, The Wharton School University of Pennsylvania Philadelphia Pennsylvania USA

2. Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA

3. Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA

Funder

National Institute on Aging

Publisher

Wiley

Subject

Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1475-6773.14011

Reference50 articles.

1. Nonurgent use of hospital emergency departments: urgency from the patient's perspective;Gill JM;J Fam Pract,1996

2. Factors Influencing the Decision to Attend a Pediatric Emergency Department for Nonemergent Complaints

3. Emergency department visits for nonurgent conditions: systematic literature review;Uscher‐Pines L;Am J Manag Care,2013

4. The Effect of Low-Complexity Patients on Emergency Department Waiting Times

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA);Health Services Research;2024-03-30

2. Hospital ownership and admission rates from the emergency department, evidence from Florida;Health Services Research;2023-10-24

3. Characteristics of Self-Triaged Emergency Department Visits by Adults With Cancer;The American Journal of Managed Care;2023-09-14

4. Price Increases Versus Upcoding As Drivers Of Emergency Department Spending Increases, 2012–19;Health Affairs;2023-08-01

5. Les patients dits « non urgents » aux urgences;médecine/sciences;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3