Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10666, first published .
A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

Junsang Yoo   1 , RN ;   Kwang Yul Jung   2 , MD ;   Taerim Kim   2 , MD ;   Taerim Lee   3 , MD ;   Sung Yeon Hwang   2 , MD ;   Hee Yoon   2 , MD ;   Tae Gun Shin   2 , MD ;   Min Seob Sim   2 , MD ;   Ik Joon Jo   2 , MD ;   Hansol Paeng   4 ;   Jong Soo Choi   1, 5 , PhD ;   Won Chul Cha   2, 5, 6 , MD

1 Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea

2 Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Chamjoeun Hospital, Department of Emergency Medicine, Gwangju, Republic of Korea

4 Seoul Medical Center, Human Understanding Design Center (HUDC), Seoul, Republic of Korea

5 Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea

6 Department of Digital Health, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

Corresponding Author:

  • Won Chul Cha, MD
  • Department of Emergency Medicine
  • Samsung Medical Center
  • Sungkyunkwan University School of Medicine
  • 81, Irwon-ro
  • Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 2-3410-2053
  • Fax: 82 2-3410-0012
  • Email: wc.cha@samsung.com