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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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
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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 ...
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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 ...
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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 ...
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In Asia, stigma around psychiatric disorders and a shortage of manpower hinder access to treatment. Chatbots offer a solution to overcome these challenges. This systematic review will evaluate the eff ...
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In this paper, we make a distinction between spreading and scaling innovations and spreading and scaling good practices for improvement, as many healthcare change practitioners often feel there is a “ ...
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A lack of personalised care often leads to suboptimal pharmacological treatment in older patients with diabetic kidney disease. An algorithm which integrates the latest evidence with personalised care ...
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Digital innovation is often considered to have the added benefit of reducing environmental harms. And whilst it’s true that telemedicine, remote monitoring and technologies which enable earlier detect ...
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Back to the archives and our podcast episode with Louise Thwaites on innovating with others. Louise talks about the importance of building your networks, mentorship and how doctors and engineers can w ...
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Following the launch of ChatGPT in November 2022, interest in large language model (LLM)-powered chatbots has soared with increasing focus on the clinical potential of these tools. This new generation ...
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Sustainable healthcare still exists within silos. Be part of the conversation by joining our workshop at BMJ Future Health on 19th November where we’ll explore how to scale sustainability projects and ...
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With increased use of digital health technologies comes increased risk of cybersecurity threats. How useful is the Essentials of Cybersecurity in Healthcare Organizations (ECHO) framework? This paper ...
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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 ...)
In Asia, stigma around psychiatric disorders and a shortage of manpower hinder access to treatment. Chatbots offer a solution to overcome these challenges. This systematic review will evaluate the eff ...)
In this paper, we make a distinction between spreading and scaling innovations and spreading and scaling good practices for improvement, as many healthcare change practitioners often feel there is a “ ...)
A lack of personalised care often leads to suboptimal pharmacological treatment in older patients with diabetic kidney disease. An algorithm which integrates the latest evidence with personalised care ...)
Digital innovation is often considered to have the added benefit of reducing environmental harms. And whilst it’s true that telemedicine, remote monitoring and technologies which enable earlier detect ...)
Back to the archives and our podcast episode with Louise Thwaites on innovating with others. Louise talks about the importance of building your networks, mentorship and how doctors and engineers can w ...)
Following the launch of ChatGPT in November 2022, interest in large language model (LLM)-powered chatbots has soared with increasing focus on the clinical potential of these tools. This new generation ...)
Sustainable healthcare still exists within silos. Be part of the conversation by joining our workshop at BMJ Future Health on 19th November where we’ll explore how to scale sustainability projects and ...)
With increased use of digital health technologies comes increased risk of cybersecurity threats. How useful is the Essentials of Cybersecurity in Healthcare Organizations (ECHO) framework? This paper ...