Corrigendum to “Development and Asian-wide validation of the Grade for Interpretable Field Triage (GIFT) for predicting mortality in pre-hospital patients using the Pan-Asian Trauma Outcomes Study (PATOS)” [The Lancet Regional Health - Western Pacific 34 (2023) 100733]

• Jae Yong Yu,
• Sejin Heo,
• Feng Xie,
• Nan Liu,
• Sun Yung Yoon,
• Han Sol Chang,
• Taerim Kim,
• Se Uk Lee,
• Marcus Eng Hock Ong,
• Yih Yng Ng,
• Sang Do shin,
• Kentaro Kajino,
• Wen-Chu Chiang,
• Won Chul Cha

Affiliations

Jae Yong Yu

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Digital & Smart Health Office, Tan Tock Seng Hospital, Singapore; Department of Emergency Medicine, National Taiwan University Hospital, Yunlin Branch, Douliu City, Taiwan

Sejin Heo

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Emergency Medicine, National Taiwan University Hospital, Yunlin Branch, Douliu City, Taiwan

Feng Xie

Programme in Health Services and Systems Research, Duke–National University of Singapore Medical School, Singapore; Department of Biomedical Data Science, Stanford University, Stanford, USA; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, USA

Nan Liu

Programme in Health Services and Systems Research, Duke–National University of Singapore Medical School, Singapore; Health Service Research Centre, Singapore Health Services, Singapore; Institute of Data Science, National University of Singapore, Singapore

Sun Yung Yoon

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea

Han Sol Chang

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

Taerim Kim

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

Se Uk Lee

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

Marcus Eng Hock Ong

Programme in Health Services and Systems Research, Duke–National University of Singapore Medical School, Singapore; Department of Emergency Medicine, Singapore General Hospital, Singapore

Yih Yng Ng

Digital & Smart Health Office, Tan Tock Seng Hospital, Singapore

Sang Do shin

Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, South Korea

Kentaro Kajino

Department of Emergency and Critical Care Medicine, Kansai Medical University, Moriguchi, Japan

Wen-Chu Chiang

Department of Emergency Medicine, National Taiwan University Hospital, Taipei City, Taiwan; Department of Emergency Medicine, National Taiwan University Hospital, Yunlin Branch, Douliu City, Taiwan

Won Chul Cha

Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Digital Innovation Center, Samsung Medical Center, Seoul, South Korea; Corresponding author. Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 115 Irwon-ro Gangnam-gu, Seoul 06355, South Korea.