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1.
Am I safe? An Interpretative Phenomenological Analysis of Vulnerability as Experienced by Patients With Complications Following Surgery.
Qual Health Res
; 32(14): 2078-2089, 2022 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36321384
2.
Will the COVID-19 pandemic transform infection prevention and control in surgery? Seeking leverage points for organizational learning.
Int J Qual Health Care
; 33(Supplement_1): 51-55, 2021 Jan 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33432983
3.
Human factors/ergonomics to support the design and testing of rapidly manufactured ventilators in the UK during the COVID-19 pandemic.
Int J Qual Health Care
; 33(Supplement_1): 4-10, 2021 Jan 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-32780821
4.
Outcome Measures Reported in Published Clinical Research Studies in Craniosynostosis: A Systematic Review.
J Craniofac Surg
; 31(6): 1672-1677, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32740313
5.
Timely Digital Patient-Clinician Communication in Specialist Clinical Services for Young People: A Mixed-Methods Study (The LYNC Study).
J Med Internet Res
; 19(4): e102, 2017 04 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-28396301
6.
Emergency Care Handover (ECHO study) across care boundaries: the need for joint decision making and consideration of psychosocial history.
Emerg Med J
; 32(2): 112-8, 2015 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-24026973
7.
Organisational reporting and learning systems: Innovating inside and outside of the box.
Clin Risk
; 21(1): 7-12, 2015 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-25999777
8.
Contextual design requirements for decision-support tools involved in weaning patients from mechanical ventilation in intensive care units.
Appl Ergon
; 118: 104275, 2024 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-38574594
9.
Digital health and care: emerging from pandemic times.
BMJ Health Care Inform
; 30(1)2023 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-37832967
10.
A comparison of machine learning algorithms in predicting COVID-19 prognostics.
Intern Emerg Med
; 18(1): 229-239, 2023 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36116079
11.
A systems analysis of the COVID-19 pandemic response in the United Kingdom - Part 1 - The overall context.
Saf Sci
; 146: 105525, 2022 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-34658531
12.
Assuring safe artificial intelligence in critical ambulance service response: study protocol.
Br Paramed J
; 7(1): 36-42, 2022 Jun 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36452023
13.
The contribution of human factors and ergonomics to the design and delivery of safe future healthcare.
Future Healthc J
; 8(3): e574-e579, 2021 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-34888444
14.
A risk management approach to the design of contraceptive implants.
J Fam Plann Reprod Health Care
; 36(4): 191-5, 2010 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-21067633
15.
Digital health and patient safety: Technology is not a magic wand.
Health Informatics J
; 26(4): 2295-2299, 2020 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-31581891
16.
Using FRAM to explore sources of performance variability in intravenous infusion administration in ICU: A non-normative approach to systems contradictions.
Appl Ergon
; 86: 103113, 2020 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-32342897
17.
Development and piloting of a software tool to facilitate proactive hazard and risk analysis of Health Information Technology.
Health Informatics J
; 26(1): 683-702, 2020 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-31165661
18.
Changing the patient safety mindset: can safety cases help?
BMJ Qual Saf
; 33(3): 145-148, 2024 02 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-38050114
19.
Human factors challenges for the safe use of artificial intelligence in patient care.
BMJ Health Care Inform
; 26(1)2019 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-31780459
20.
Integrating digital health technologies into complex clinical systems.
BMJ Health Care Inform
; 30(1)2023 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-37832968