To improve diversity in clinical trials, researchers must address recruitment barriers and account for socio-economic factors. Designing inclusive trials ensures broader population representation, mak
…
AI holds promise in allied health fields like physiotherapy and speech therapy, improving diagnostic accuracy, personalising treatments, and enhancing efficiency. However, challenges such as data priv
…
What if technology designed to save time in the NHS is actually doing the opposite? A recent study by The Health Foundation reveals that many health technologies, like electronic health records and ro
…
Hugh Alderwick, Director of Policy at the Health Foundation responds to the government's announcement about abolishing NHS England. ‘Abolishing NHS England is a watershed moment in how the English NHS
…
Last year’s BMJ Future Health Conference brought together clinicians, researchers and clinical leaders for a vital discussion on the role of digital innovation in healthcare. This year we’re back for
…
Instead of blaming colonialism alone for injustices, it is important to recognise universal human tendencies, like the desire for power, which contribute to oppression. Combining decoloniality with an
…
LLMs can enhance decision-making, reduce administrative tasks, and empower patients, but concerns about privacy, data bias, and accuracy remain. The article offers guidance for primary care clinicians
…
This qualitative study explored the experiences of ethnically diverse NHS staff, particularly during the COVID-19 pandemic, highlighting the need for cultural change and better support Key themes incl
…
The UK healthcare sector lags in AI adoption, with 73% of healthcare professionals never using AI at work due to fear of errors, lack of confidence, and limited awareness of AI's potential. Proper tra
…
A study from Imperial’s Centre for Health Economics and Policy Innovation highlights that clinicians’ professional networks are essential in adopting new practices. Doctors who engage with peers are m
…
As healthcare becomes more digital, it's crucial to create solutions that address the diverse needs of patients and healthcare teams to reduce disparities and improve outcomes. The King’s Fund has hig
…
Healthcare leaders predict that AI will integrate further into clinical processes and patient care. From accelerating research to improving diagnostic accuracy and patient interactions, they predict t
…
Health outcomes are shaped by more than just access to healthcare; they are also shaped by social factors like housing, income, and education. Clinicians must be aware of these disparities, while NHS
…
Many experts believe to see real progress, the healthcare ecosystem must adopt a regenerative, circular healthcare model, where value and resources flow back into the system to support continued growt
…
Limited trial locations and resource constraints make recruitment of underserved groups difficult. Patient and public representatives emphasise the need for diverse research staff and better education
…
While Quality Improvement (QI) frameworks aim to enhance care, this study found that equity is rarely a direct focus. To prevent unintended gaps in care, this paper highlights that QI frameworks must
…
This paper explores the double-edged impact of AI in healthcare, offering relief from burnout while introducing new challenges. The key takeaway? AI should be a partner, not a replacement. Read more
BMJ Digital Health & AI provides an essential space for the latest technology-integrated healthcare. It is launched alongside the BMJ Future Health community, an in-person conference and comprehensive
…
A review of AI based clinical algorithms found that over 50% were trained on datasets from the US and China. What does this mean for their adoption in other countries? How do AI algorithms accentuate
…
Patient experience is a key indicator of healthcare quality and safety, reflected in performance frameworks like the Quadruple Aim. Improved patient experience is linked to positive safety outcomes ac
…