AIMC Topic: England
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Patterns in GP appointment systems: a cluster analysis of 3480 English practices.
The British journal of general practice : the journal of the Royal College of General Practitioners
Aug 1, 2025
BACKGROUND: In response to increasing demand for appointments, UK general practices have adopted a range of appointment systems. These systems vary widely in implementation. These changes have not yet been clearly described.
'In the Midst of Every Crisis, Lies Great Opportunity': Perceptions of the Future Use of Artificial Intelligence in the UK NHS Primary Care.
Musculoskeletal care
Jun 1, 2025
BACKGROUND: Amidst a backdrop of crisis in primary healthcare, characterised by increasing patient demands and a stagnant workforce, artificial intelligence (AI) is proposed as a potential enhancer of clinical efficacy and decision-making support. In...
Artificial Intelligence
Forecasting
Health Personnel
Decision Support Techniques
Humans
Qualitative Research
Attitude of Health Personnel
Interviews as Topic
Primary Health Care
Clinical Decision-Making
Female
Male
England
State Medicine
Patient Acceptance of Health Care
Decision Making, Computer-Assisted
Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.
Annals of family medicine
May 27, 2025
PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients...
Increasing the ethnic diversity of senior leadership within the English National Health Service: using an artificial intelligence approach to evaluate inclusive recruitment strategies in hospital settings.
Human resources for health
May 22, 2025
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive workplace, but Black and Minority Ethnic (BME) representation in senior leadership roles remains limited. To address this, a large multi-hospital acute N...
Patient research priorities in melanoma: a national qualitative interview study.
The British journal of dermatology
May 19, 2025
BACKGROUND: Outcomes for advanced melanoma have improved following the advent of immunotherapy and targeted therapy. This heralds a need for reconsideration of future research agendas. Patients can - and are keen to - help identify and prioritize res...
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study.
The Lancet. Digital health
Jul 1, 2024
BACKGROUND: Broad-capture proteomic technologies have the potential to improve disease prediction, enabling targeted prevention and management, but studies have so far been limited to very few selected diseases and have not evaluated predictive perfo...
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. ...
First 'bilingual' brain-reading device decodes Spanish and English words.
Nature
May 1, 2024
New and emerging technology for adult social care - the example of home sensors with artificial intelligence (AI) technology.
Health and social care delivery research
Jun 1, 2023
BACKGROUND: Digital technology is a focus within the NHS and social care as a way to improve care and address pressures. Sensor-based technology with artificial intelligence capabilities is one type of technology that may be useful, although there ar...
Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.
American journal of epidemiology
Apr 1, 2018
In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for a binary exposure in cancer mortality. We conduct numerical analyses to study the bias and efficien...
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