Browse by UCL people
Group by: Type | Date
Number of items: 36.
2025
Thieme, Anja;
Rajamohan, Abhijith;
Cooper, Benjamin;
Groombridge, Heather;
Simister, Robert;
Wong, Barney;
Woznitza, Nicholas;
... Jacob, Joseph; + view all
(2025)
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
ACM Transactions on Computer-Human Interaction
10.1145/3716500.
(In press).
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2024
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Lewis, J;
Evison, F;
Doal, R;
Field, J;
Gallier, S;
Harris, S;
le Roux, P;
... Witham, MD; + view all
(2024)
How far back do we need to look to capture diagnoses in electronic health records? A retrospective observational study of hospital electronic health record data.
BMJ Open
, 14
(2)
, Article e080678. 10.1136/bmjopen-2023-080678.
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Samanta, RJ;
Ercole, A;
Harris, S;
Summers, C;
(2024)
Low Tidal Volume Ventilation Is Poorly Implemented for Patients in North American and United Kingdom ICUs Using Electronic Health Records.
Chest
, 165
(2)
pp. 333-347.
10.1016/j.chest.2023.09.021.
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Yildirim, Nur;
Richardson, Hannah;
Wetscherek, Maria Teodora;
Bajwa, Junaid;
Jacob, Joseph;
Pinnock, Mark Ames;
Harris, Stephen;
... Thieme, Anja; + view all
(2024)
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
In:
Proceedings of the CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-22).
ACM (Association for Computing Machinery)
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2023
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Wilson, MG;
Palmer, E;
Asselbergs, FW;
Harris, SK;
(2023)
Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems.
Journal of Biomedical Informatics
, 137
, Article 104273. 10.1016/j.jbi.2022.104273.
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2022
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Chen, Yang;
Harris, Steve;
Rogers, Yvonne;
Ahmad, Tariq;
Asselbergs, Folkert W;
(2022)
Nudging within learning health systems: next generation decision support to improve cardiovascular care.
European Heart Journal
10.1093/eurheartj/ehac030.
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Ferrando-Vivas, Paloma;
Shankar-Hari, Manu;
Thomas, Karen;
Doidge, James C;
Caskey, Fergus J;
Forni, Lui;
Harris, Steve;
... Harrison, David A; + view all
(2022)
Improving risk prediction model quality in the critically ill: data linkage study.
Health and Social Care Delivery Research
, 10
(39)
pp. 1-192.
10.3310/eqab4594.
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Vistisen, ST;
Pollard, TJ;
Harris, S;
Lauritsen, SM;
(2022)
Artificial intelligence in the clinical setting: Towards actual implementation of reliable outcome predictions.
European Journal of Anaesthesiology
, 39
(9)
pp. 729-732.
10.1097/EJA.0000000000001696.
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Wilson, Matthew G;
Asselbergs, Folkert W;
Miguel, Ruben;
Brealey, David;
Harris, Steve K;
(2022)
Embedded point of care randomisation for evaluating comparative effectiveness questions: PROSPECTOR-critical care feasibility study protocol.
BMJ Open
, 12
(9)
, Article e059995. 10.1136/bmjopen-2021-059995.
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Wilson, MG;
Rashan, A;
Klapaukh, R;
Asselbergs, FW;
Harris, SK;
(2022)
Clinician preference instrumental variable analysis of the effectiveness of magnesium supplementation for atrial fibrillation prophylaxis in critical care.
Scientific Reports
, 12
, Article 17433. 10.1038/s41598-022-21286-1.
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2021
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Harris, S;
Palmer, E;
Fong, K;
(2021)
Trials in pandemics: here we go again?
British Journal of Anaesthesia
, 126
(1)
E42-E44.
10.1016/j.bja.2020.10.008.
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Harris, Steve;
(2021)
I Don't Want My Algorithm to Die in a Paper: Detecting Deteriorating Patients Early.
American Journal of Respiratory and Critical Care Medicine
, 204
(1)
pp. 4-5.
10.1164/rccm.202102-0459ED.
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Lai, AG;
Chang, WH;
Parisinos, CA;
Katsoulis, M;
Blackburn, RM;
Shah, AD;
Nguyen, V;
... Hemingway, H; + view all
(2021)
An informatics consult approach for generating clinical evidence for treatment decisions.
BMC Medical Informatics and Decision Making
, 21
(1)
, Article 281. 10.1186/s12911-021-01638-z.
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Newcombe, Virginia;
Coats, Timothy;
Dark, Paul;
Gordon, Anthony;
Harris, Steve;
McAuley, Danny F;
Menon, David K;
... Singer, Mervyn; + view all
(2021)
The future of acute and emergency care.
Future Healthcare Journal
, 8
(2)
e230-e236.
10.7861/fhj.2021-0097.
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Shah, AD;
MacCallum, NS;
Harris, S;
Brealey, DA;
Palmer, E;
Hetherington, J;
Shi, S;
... Singer, M; + view all
(2021)
Descriptors of Sepsis Using the Sepsis-3 Criteria: A Cohort Study in Critical Care Units Within the U.K. National Institute for Health Research Critical Care Health Informatics Collaborative.
Critical Care Medicine
, 49
(11)
pp. 1883-1894.
10.1097/CCM.0000000000005169.
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2020
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Banerjee, A;
Pasea, L;
Harris, S;
Gonzalez-Izquierdo, A;
Torralbo, A;
Shallcross, L;
Noursadeghi, M;
... Hemingway, H; + view all
(2020)
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study.
The Lancet
10.1016/S0140-6736(20)30854-0.
(In press).
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Hashim, S;
Wong, DJN;
Farmer, L;
Harris, SK;
Moonesinghe, SR;
(2020)
Perceptions of UK clinicians towards postoperative critical care.
Anaesthesia
10.1111/anae.15302.
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Tissot, HC;
Shah, AD;
Brealey, D;
Harris, S;
Agbakoba, R;
Folarin, A;
Romao, L;
... Asselbergs, FW; + view all
(2020)
Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial.
IEEE Journal of Biomedical and Health Informatics
10.1109/JBHI.2020.2977925.
(In press).
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Wong, DJN;
Harris, S;
Sahni, A;
Bedford, JR;
Cortes, L;
Shawyer, R;
Wilson, AM;
... Moonesinghe, SR; + view all
(2020)
Developing and validating subjective and objective risk-assessment measures for predicting mortality after major surgery: An international prospective cohort study.
PLOS Medicine
, 17
(10)
, Article e1003253. 10.1371/journal.pmed.1003253.
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2019
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Barnes, J;
Hunter, J;
Harris, S;
Shankar-Hari, M;
Diouf, E;
Jammer, I;
Kalkman, C;
... Mythen, MG; + view all
(2019)
Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine (StEP) initiative: infection and sepsis.
British Journal of Anaesthesia
, 122
(4)
pp. 500-508.
10.1016/j.bja.2019.01.009.
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Grieve, R;
O'Neill, S;
Basu, A;
Keele, L;
Rowan, KM;
Harris, S;
(2019)
Analysis of Benefit of Intensive Care Unit Transfer for Deteriorating Ward Patients: A Patient-Centered Approach to Clinical Evaluation.
JAMA Network Open
, 2
(2)
, Article e187704. 10.1001/jamanetworkopen.2018.7704.
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Kennedy, EH;
Harris, S;
Keele, LJ;
(2019)
Survivor-Complier Effects in the Presence of Selection on Treatment, With Application to a Study of Prompt ICU Admission.
Journal of the American Statistical Association
, 114
(525)
pp. 93-104.
10.1080/01621459.2018.1469990.
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Palmer, E;
Klapaukh, R;
Harris, S;
Singer, M;
Bonnici, T;
Al-Hindawi, A;
Keen, T;
(2019)
Intelligently learning from data.
Critical Care
, 23
, Article 136. 10.1186/s13054-019-2424-7.
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Palmer, E;
Martin, D;
Singer, M;
Harris, S;
(2019)
Reply to Tasker, and to Lellouche and L'Her.
[Letter].
American Journal of Respiratory and Critical Care Medicine
, 201
(4)
10.1164/rccm.201910-2045LE.
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Palmer, E;
Post, B;
Klapaukh, R;
Marra, G;
MacCallum, NS;
Brealey, D;
Ercole, A;
... Harris, S; + view all
(2019)
The Association Between Supra-Physiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients: A Multi-Centre Observational Cohort Study.
American Journal of Respiratory and Critical Care Medicine
, 200
(11)
pp. 1373-1380.
10.1164/rccm.201904-0849OC.
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Wong, DJN;
Popham, S;
Wilson, AM;
Barneto, LM;
Lindsay, HA;
Farmer, L;
Saunders, D;
... Moonesinghe, SR; + view all
(2019)
Postoperative critical care and high-acuity care provision in the United Kingdom, Australia, and New Zealand.
British Journal of Anaesthesia
, 122
(4)
pp. 460-469.
10.1016/j.bja.2018.12.026.
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2018
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Harris, S;
Singer, M;
Sanderson, C;
Grieve, R;
Harrison, D;
Rowan, K;
(2018)
Correction to: Impact on mortality of prompt admission to critical care for deteriorating ward patients: an instrumental variable analysis using critical care bed strain.
[Corrigendum].
Intensive Care Medicine
, 44
(5)
p. 701.
10.1007/s00134-018-5254-1.
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Harris, S;
Singer, M;
Sanderson, C;
Grieve, R;
Harrison, D;
Rowan, K;
(2018)
Impact on mortality of prompt admission to critical care for deteriorating ward patients: an instrumental variable analysis using critical care bed strain.
Intensive Care Medicine
, 44
(5)
pp. 606-615.
10.1007/s00134-018-5148-2.
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Harrisa, S;
Shi, S;
Brealey, D;
MacCallum, NS;
Denaxas, S;
Perez-Suarez, D;
Ercole, A;
... Singer, M; + view all
(2018)
Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.
International Journal of Medical Informatics
, 112
pp. 82-89.
10.1016/j.ijmedinf.2018.01.006.
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Meiring, C;
Dixit, A;
Harris, S;
MacCallum, NS;
Brealey, DA;
Watkinson, PJ;
Jones, A;
... Ercole, A; + view all
(2018)
Optimal intensive care outcome prediction over time using machine learning.
PLoS One
, 13
(11)
, Article e0206862. 10.1371/journal.pone.0206862.
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Pickard, K;
Harris, S;
(2018)
High flow nasal oxygen therapy.
British Journal of Hospital Medicine
, 79
(1)
C13-C15.
10.12968/hmed.2018.79.1.C13.
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Wong, DJN;
Harris, SK;
Moonesinghe, SR;
SNAP-2: EPICCS collaborators, .;
(2018)
Cancelled operations: a 7-day cohort study of planned adult inpatient surgery in 245 UK National Health Service hospitals.
British Journal of Anaesthesia
, 121
(4)
pp. 730-738.
10.1016/j.bja.2018.07.002.
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Wong, DJN;
Sahni, A;
Bedford, JR;
Harris, SK;
Moonesinghe, SR;
(2018)
Man vs machine: how good are clinicians at predicting perioperative risk?
Presented at: BJA Research Forum, London, UK.
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2017
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Moonesinghe, SR;
Wong, DJN;
Farmer, L;
Shawyer, R;
Myles, PS;
Harris, SK;
(2017)
SNAP-2 EPICCS: the second Sprint National Anaesthesia Project—EPIdemiology of Critical Care after Surgery: protocol for an international observational cohort study.
BMJ Open
, 7
(9)
, Article e017690. 10.1136/bmjopen-2017-017690.
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Shi, S;
Pérez-Suárez, D;
Harris, S;
MacCallum, N;
Brealey, D;
Singer, M;
Hetherington, J;
(2017)
Critical care data processing tools.
The Journal of Open Source Software
, 2
(20)
, Article 513. 10.21105/joss.00513.
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2014
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Moonesinghe, SR;
Harris, S;
Mythen, MG;
Rowan, KM;
Haddad, FS;
Emberton, M;
Grocott, MP;
(2014)
Survival after postoperative morbidity: a longitudinal observational cohort study.
Br J Anaesth
, 113
(6)
977 - 984.
10.1093/bja/aeu224.
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