David C Wong

David C Wong

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in The Lancet
Verified
Journal Article
Closed access
HFHamish Fraser
Hamish Fraser
ECEnrico Coiera
Enrico Coiera
DWDavid C Wong
David C Wong

1 September 2020 in Journal of the Neurological Sciences
Verified
Journal Article
Closed access
SWStefan Williams
Stefan Williams
ZZZhibin Zhao
Zhibin Zhao
AHAwais Hafeez
Awais Hafeez
DWDavid C Wong
David C Wong
SRSamuel D. Relton
Samuel D. Relton
JAJane E. Alty
Jane E. Alty

15 August 2019 in BMJ Open
Verified
Journal Article
Open access
PDF file
CDCandice Downey
Candice Downey
SNShu Ng
Shu Ng
DJDavid Jayne
David Jayne
DWDavid C Wong
David C Wong
Objective: To validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory rate (RR) and temperature in a postsurgical patient population at high risk of complications. Design: Manually recorded vital signs data were paired with vital signs data derived from the remote monitor set in patients participating in the Trial of Remote versus Continuous INtermittent monitoring (TRaCINg) study: a trial of continuous remote vital signs monitoring. Setting: St James’s University Hospital, UK. Participants: 51 patients who had undergone major elective general surgery. Interventions: The intervention was the SensiumVitals monitoring system. This is a wireless patch worn on the patient’s chest that measures HR, RR and temperature continuously. The reference standard was nurse-measured manually recorded vital signs. Primary and secondary outcome measures: The primary outcomes were the 95% limits of agreement between manually recorded and wearable patch vital sign recordings of HR, RR and temperature. The secondary outcomes were the percentage completeness of vital sign patch data for each vital sign. Results: 1135 nurse observations were available for analysis. There was no clinically meaningful bias in HR (1.85 bpm), but precision was poor (95% limits of agreement −23.92 to 20.22 bpm). Agreement was poor for RR (bias 2.93 breaths per minute, 95% limits of agreement −8.19 to 14.05 breaths per minute) and temperature (bias 0.82 ° C, 95% limits of agreement −1.13 ° C to 2.78 ° C). Vital sign patch data completeness was 72.8% for temperature, 59.2% for HR and 34.1% for RR. Distributions of RR in manually recorded measurements were clinically implausible. Conclusions: The continuous monitoring system did not reliably provide HR consistent with nurse measurements. The accuracy of RR and temperature was outside of acceptable limits. Limitations of the system could potentially be overcome through better signal processing. While acknowledging the time pressures placed on nursing staff, inaccuracies in the manually recorded data present an opportunity to increase awareness about the importance of manual observations, particularly with regard to methods of manual HR and RR measurements.

13 January 2023 in Artificial Intelligence in Medicine
Verified
Journal Article
Closed access
JQJing Qin
Jing Qin
FGFujie Gao
Fujie Gao
ZWZumin Wang
Zumin Wang
DWDavid C Wong
David C Wong
Zhibin ZhaoZhibin Zhao
Zhibin Zhao
HFHui Fang
Hui Fang

1 November 2020 in Artificial Intelligence in Medicine
Verified
Journal Article
Closed access
SWStefan Williams
Stefan Williams
SRSamuel D. Relton
Samuel D. Relton
HFHui Fang
Hui Fang
JAJane Alty
Jane Alty
RQRami Qahwaji
Rami Qahwaji
DWDavid C Wong
David C Wong

18 November 2019 in BMJ Health & Care Informatics
Verified
Journal Article
Open access
PDF file
FMFarah Magrabi
Farah Magrabi
IHIbrahim Habli
Ibrahim Habli
MSMark Sujan
Mark Sujan
DWDavid C Wong
David C Wong
HTHarold Thimbleby
Harold Thimbleby
ECEnrico Coiera
Enrico Coiera