Artificial intelligence decision points in an emergency department

被引：12
作者：
Chang, Hansol [1 ,2 ]
Cha, Won Chul [1 ,2 ,3 ]
机构：
[1] Sungkyunkwan Univ, Samsung Med Ctr, Dept Emergency Med, Sch Med, Seoul, South Korea
[2] Sungkyunkwan Univ, Samsung Adv Inst Hlth Sci & Technol SAIHST, Dept Digital Hlth, Seoul, South Korea
[3] Samsung Med Ctr, Digital Innovat, Seoul, South Korea
来源：
CLINICAL AND EXPERIMENTAL EMERGENCY MEDICINE | 2022年 / 9卷 / 03期
关键词：
MEDICINE; TRIAGE;
D O I：
10.15441/ceem.22.366
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
引用
收藏
页码：165 / 168
页数：4
相关论文
共 37 条
[1]   Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study [J].
Barfod, Charlotte ;
Lauritzen, Marlene Mauson Pankoke ;
Danker, Jakob Klim ;
Soeletormos, Gyoergy ;
Forberg, Jakob Lundager ;
Berlac, Peter Anthony ;
Lippert, Freddy ;
Lundstrom, Lars Hyldborg ;
Antonsen, Kristian ;
Lange, Kai Henrik Wiborg .
SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2012, 20
[2]   Revisions to the Canadian Emergency Department Triage and Acuity Scale (CTAS) Guidelines 2016 [J].
Bullard, Michael J. ;
Musgrave, Erin ;
Warren, David ;
Unger, Bernard ;
Skeldon, Thora ;
Grierson, Rob ;
van der Linde, Etienne ;
Swain, Janel .
CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2017, 19 :S18-S27
[3]   Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage [J].
Chang, Hansol ;
Yu, Jae Yong ;
Yoon, Sunyoung ;
Kim, Taerim ;
Cha, Won Chul .
SCIENTIFIC REPORTS, 2022, 12 (01)
[4]   Impact of COVID-19 Pandemic on the Overall Diagnostic and Therapeutic Process for Patients of Emergency Department and Those with Acute Cerebrovascular Disease [J].
Chang, Hansol ;
Yu, Jae Yong ;
Yoon, Sun Young ;
Hwang, Sung Yeon ;
Yoon, Hee ;
Cha, Won Chul ;
Sim, Min Seob ;
Jo, Ik Joon ;
Kim, Taerim .
JOURNAL OF CLINICAL MEDICINE, 2020, 9 (12)
[5]   The effects of emergency department crowding on triage and hospital admission decisions [J].
Chen, Wanyi ;
Linthicum, Benjamin ;
Argon, Nilay Tanik ;
Bohrmann, Thomas ;
Lopiano, Kenneth ;
Mehrotra, Abhi ;
Travers, Debbie ;
Ziya, Serhan .
AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2020, 38 (04) :774-779
[6]   Can Prehospital Data Improve Early Identification of Sepsis in Emergency Department? An Integrative Review of Machine Learning Approaches [J].
Desai, Manushi D. ;
Tootooni, Mohammad S. ;
Bobay, Kathleen L. .
APPLIED CLINICAL INFORMATICS, 2022, 13 (01) :189-202
[7]   Prehospital care for traumatic spinal cord injury by first responders in 8 sub-Saharan African countries and 6 other low- and middle-income countries: A scoping review [J].
Eisner, Zachary J. ;
Delaney, Peter G. ;
Widder, Patricia ;
Aleem, Ilyas S. ;
Tate, Denise G. ;
Raghavendran, Krishnan ;
Scott, John W. .
AFRICAN JOURNAL OF EMERGENCY MEDICINE, 2021, 11 (03) :339-346
[8]   Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential [J].
Grant, Kiran ;
McParland, Aidan ;
Mehta, Shaun ;
Ackery, Alun D. .
ANNALS OF EMERGENCY MEDICINE, 2020, 75 (06) :721-726
[9]   Predicting 72-hour and 9-day return to the emergency department using machine learning [J].
Hong, Woo Suk ;
Haimovich, Adrian Daniel ;
Taylor, Richard Andrew .
JAMIA OPEN, 2019, 2 (03) :346-352
[10]   Deep Learning for Chest Radiograph Diagnosis in the Emergency Department [J].
Hwang, Eui Jin ;
Nam, Ju Gang ;
Lim, Woo Hyeon ;
Park, Sae Jin ;
Jeong, Yun Soo ;
Kang, Ji Hee ;
Hong, Eun Kyoung ;
Kim, Taek Min ;
Goo, Jin Mo ;
Park, Sunggyun ;
Kim, Ki Hwan ;
Park, Chang Min .
RADIOLOGY, 2019, 293 (03) :573-580
1234