A5022002096- Innovations in Medical Education
- Artificial Intelligence in Healthcare and Education
- Telemedicine and Telehealth Implementation
- Medical Education and Admissions
- Diversity and Career in Medicine
- Healthcare Operations and Scheduling Optimization
- Ethics and Social Impacts of AI
- Ethics in Clinical Research
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare
- ECG Monitoring and Analysis
- Cerebral Venous Sinus Thrombosis
- Global Healthcare and Medical Tourism
- Global Health Workforce Issues
- Patient Satisfaction in Healthcare
- Dental Education, Practice, Research
- Machine Learning in Healthcare
- Intraocular Surgery and Lenses
- Healthcare cost, quality, practices
- Vascular Anomalies and Treatments
Imperial College London
2022-2025
Gloucestershire Hospitals NHS Foundation Trust
2023-2024
University of York
2023
Oxford Health NHS Foundation Trust
2020
Objectives Standardisation of medical examinations involves minimising assessor stereotyping and bias for a fair process. This study aimed to determine whether being non-white candidate affected scoring by simulated patients, compared with white candidate, at three different performance grades in the same history-taking station. Design Single-blinded, video-based, randomised study. Participants 163 patients watched randomly allocated set six videos. Each consisted (South Asian, black...
Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada workforce pressures delivering cataract care. A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients the healthcare system. This study assesses use 'Dora', an example assistant able deliver a regulated autonomous, voice-based, natural-language consultation with over telephone. Dora used routine practice UK, but...
Delivering fair and reliable summative assessments in medical education assumes examiner decision making is devoid of bias. We investigated whether candidate racial appearances influenced ratings undergraduate clinical exams.
<h3></h3> GM and EL are both employees of Ufonia Ltd a company funded by Innovate UK that specialises in automating routine healthcare using natural language processing over the telephone. <h3>Aims</h3> Healthcare is often slow to adopt innovation due difficulties changing culture attitudes towards technological alternatives. This study aimed evaluate patient acceptability novel method for providing cataract follow up telephone (TFU) looking at multiple factors acceptability. methodology can...
While digital health innovations are increasingly being adopted by care organizations, implementation is often carried out without considering the impacts on frontline staff who will be using technology and affected its introduction. The enthusiasm surrounding use of artificial intelligence (AI)-enabled solutions in tempered uncertainty around how it change working lives practices professionals. Digital enablement can viewed as facilitating enhanced effectiveness efficiency improving...
The deployment and use of AI systems should be both safe broadly ethically acceptable. principles-based ethics assurance argument pattern is one proposal in the landscape that seeks to support achieve aim. purpose this or framework structure reasoning about, communicate foster confidence in, ethical acceptability uses specific real-world complex socio-technical contexts. This paper presents interim findings a case study applying Dora, an AI-based telemedicine system, assess its viability...
The deployment and use of AI systems should be both safe broadly ethically acceptable. principles-based ethics assurance argument pattern is one proposal in the landscape that seeks to support achieve aim. purpose this or framework structure reasoning about, communicate foster confidence in, ethical acceptability uses specific real-world complex socio-technical contexts. This paper presents interim findings a case study applying Dora, an AI-based telemedicine system, assess its viability...
<h3>Introduction</h3> Advances in artificial intelligence (AI) have sparked renewed debates on automation's impact the future workforce, which is particularly pertinent healthcare. The impending transformation of healthcare roles inevitable due to current unsustainable recruitment rates, projecting a global deficit 15 million workers by 2030. Despite expectations relatively lower job displacement from AI compared other sectors, integrating technologies presents challenges, reshaping work...
<h3>Introduction</h3> Digital health technologies including artificial intelligence (AI) have made tremendous progress in ophthalmology with abilities comparable to expert humans demonstrated fields like diabetic retinopathy screening. Healthcare systems worldwide face significant challenges improving or even maintaining the quality of care and general population health. Real-world implementation technological advancements will be necessary achieve these aims. There are several obstacles...
<sec> <title>BACKGROUND</title> While digital health innovations are increasingly being adopted by care organizations, implementation is often carried out without considering the impacts on frontline staff who will be using technology and affected its introduction. The enthusiasm surrounding use of artificial intelligence (AI)–enabled solutions in tempered uncertainty around how it change working lives practices professionals. Digital enablement can viewed as facilitating enhanced...
<h3></h3> Frontline staff are uniquely placed to lead in identifying gaps the healthcare system and develop solutions. Unfortunately many entrepreneurial clinicians must choose between their training systems improvement. Our study investigates perceptions impact of NHS encouraging entrepreneurship from within its own ranks. A systematic literature review assessed cause extent challenge. quantitative questionnaire evaluated views 161 frontline HCPs including students. Seven key themes were...