N
Ne Hooi Will Loh
Researcher at University Health System
Publications - 30
Citations - 508
Ne Hooi Will Loh is an academic researcher from University Health System. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 7, co-authored 17 publications receiving 273 citations. Previous affiliations of Ne Hooi Will Loh include National University of Singapore & Walton Centre.
Papers
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Journal ArticleDOI
The impact of high-flow nasal cannula (HFNC) on coughing distance: implications on its use during the novel coronavirus disease outbreak.
Ne Hooi Will Loh,Yanni Tan,Juvel Taculod,Billy Gorospe,Analine S. Teope,Jyoti Somani,Addy Yong Hui Tan +6 more
TL;DR: An experiment to simulate a patient coughing while using high-flow nasal cannula to assess the maximum distance of droplet dispersion found no evidence of increased surrounding surface contamination when using HFNC in patients with gram negative bacterial pneumonia.
Journal ArticleDOI
Coordinated responses of academic medical centres to pandemics: Sustaining medical education during COVID-19.
Balakrishnan Ashokka,Balakrishnan Ashokka,Say Yang Ong,Kwang Hui Tay,Kwang Hui Tay,Ne Hooi Will Loh,Ne Hooi Will Loh,Chen Fun Gee,Chen Fun Gee,Dujeepa D. Samarasekera +9 more
TL;DR: While minimising the transmission of the pandemic outbreak within the healthcare establishments is paramount, medical education and research activities cannot come to a standstill each time there is a threat of one.
Journal ArticleDOI
Clinical review: The critical care management of the burn patient
TL;DR: The aim of this review was to review the advances in adult intensive care burn management and place them in the general context of day-to-day practical burn management.
Journal ArticleDOI
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Isaac S. Kohane,Bruce J. Aronow,Paul Avillach,Brett K. Beaulieu-Jones,Riccardo Bellazzi,Robert L. Bradford,Gabriel A. Brat,Mario Cannataro,James J. Cimino,Noelia García-Barrio,Nils Gehlenborg,Marzyeh Ghassemi,Alba Gutiérrez-Sacristán,David A. Hanauer,John H. Holmes,Chuan Hong,Jeffrey G. Klann,Ne Hooi Will Loh,Yuan Luo,Kenneth D. Mandl,Mohamad Daniar,Jason H. Moore,Shawn N. Murphy,Antoine Neuraz,Kee Yuan Ngiam,Gilbert S. Omenn,Nathan Palmer,Lav P Patel,Miguel Pedrera-Jiménez,Piotr Sliz,Andrew M South,Amelia L.M. Tan,Amelia L.M. Tan,Deanne Taylor,Bradley W Taylor,Carlo Torti,Andrew Vallejos,Kavishwar B. Wagholikar,Griffin M. Weber,Tianxi Cai +39 more
TL;DR: In this article, the authors distill from the broader informatics literature six key considerations that are crucial for appraising studies utilizing EHR data: data completeness, data collection and handling (eg, transformation), data type (ie, codified, textual), robustness of methods against EHR variability (within and across institutions, countries, and time), transparency of data and analytic code, and the multidisciplinary approach.
Journal ArticleDOI
Validation of an Internationally Derived Patient Severity Phenotype to Support COVID-19 Analytics from Electronic Health Record Data.
Jeffrey G. Klann,Hossein Estiri,Griffin M. Weber,Bertrand Moal,Paul Avillach,Chuan Hong,Amelia L.M. Tan,Brett K. Beaulieu-Jones,Victor Castro,Thomas Maulhardt,Alon Geva,Alberto Malovini,Andrew M South,Shyam Visweswaran,Michele I. Morris,Malarkodi J Samayamuthu,Gilbert S. Omenn,Kee Yuan Ngiam,Kenneth D. Mandl,Martin Boeker,Karen L. Olson,Danielle L. Mowery,Robert W Follett,David A. Hanauer,Riccardo Bellazzi,Jason H. Moore,Ne Hooi Will Loh,Douglas S. Bell,Kavishwar B. Wagholikar,Luca Chiovato,Valentina Tibollo,Siegbert Rieg,Anthony L L J Li,Vianney Jouhet,Emily Schriver,Zongqi Xia,Meghan R Hutch,Yuan Luo,Isaac S. Kohane,Gabriel A. Brat,Shawn N. Murphy +40 more
TL;DR: The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) as discussed by the authors developed an EHR-based severity phenotype consisting of six code classes, and validated it on patient hospitalization data from the 12 4CE clinical sites against the outcomes of ICU admission and/or death.