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Technology has transformed various facets of life, including medicine, giving rise to innovative forms of care such as telemedicine and telehealth. While telehealth encompasses health information avai ...
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Artificial intelligence is making significant inroads into healthcare, diagnostics, workflows, and even medical education. But can AI truly take on the role of a teacher in medical training? “Can AI d ...
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Increasingly, patients are being asked to use digitalised healthcare platforms: scheduling appointments, Hospital at Home models, accessing lab results and patient-reported outcome data. This represen ...
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As virtual and hybrid care gain popularity, many healthcare systems face challenges with infrastructure, workflows, and reimbursement. This NEJM article discusses practical strategies to overcome the ...
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This systematic review and meta-analysis conducted by Lancet found that home-based cardiac rehabilitation delivered via mobile health technologies significantly improves patient outcomes. These digit ...
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A recent study in JAMA compared large language models like GPT-3.5 and GPT-4 to a dedicated AI expert system for diagnostic accuracy using clinical cases. The expert system outperformed the language m ...
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This study explores the ethical implications of using a “sensitive” virtual assistant (SVA), an AI-driven chatbot designed to support people in vulnerable positions, such as those with disabilities, i ...
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Key factors influencing clinicians adoption of AI included performance expectancy and available support. Additional themes such as clinician hesitancy, legal concerns, and physician involvement – also ...
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Ethnic minorities in England face persistent barriers to mental health care, worsened by the COVID-19 pandemic. This study highlights ongoing disparities, including cultural stigma, language barriers, ...
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Post-pandemic, telehealth has become a core part of healthcare, powered by remote monitoring and virtual care. Despite challenges with integration and reimbursement, real-time monitoring is transform ...
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Smaller countries face challenges in healthcare innovation procurement due to limited resources and expertise. To overcome these hurdles, European initiatives like joint procurement aim to foster coll ...
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In the next 25 years healthcare technologies, like pagers, fax machines, and paper records, are expected to disappear, replaced by digital automated systems. The Medical Futurist Institute’s Bertalan ...
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Artificial intelligence offers huge potential in healthcare from early disease detection to reducing clinician workload and improving diagnostic accuracy, but rolling it out too quickly can lead to wa ...
-
Preventable diseases account for eight of the top ten causes of death in low- and middle-income countries (LMICs). These nations face significant healthcare challenges, including workforce shortages, ...
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Interoperability continues to be one of healthcare’s more prominent and recurring challenges. Despite a number of initiatives aiming to close the gap, there is still no universal approach. Countries l ...
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Rushing the adoption of AI in healthcare can lead to poor outcomes and wasted resources. A strategic, well-planned approach is key readiness assessments, pilot projects, and robust stakeholder engagem ...
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Embracing digital tools could save the NHS millions by streamlining administrative tasks and enhancing care delivery. But The Health Foundation examines which digital tools are actually saving time, w ...
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DATs can enhance autonomy, social interaction, and safety for people with dementia. While most studies report positive effects, some highlight negative outcomes like anxiety or resistance to technolog ...
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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 ...
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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 ...
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June has arrived, and with it comes fresh insights into digital health innovations transforming clinical practice. From understanding the latest in AI diagnostics to tackling the challenges of virtual ...)
May Newsletter: The evolution of telehealth, acceptance of AI & call for problems What a month April was! From launching our Call for Problems for the BMJ Future Health conference taking place later t ...)
April Newsletter: Time Saving Tech, Strategy vs Speed & A Special Announcement Well, that was March: a huge month in healthcare across the globe that’s left us all wondering what comes next. Here at B ...)
March Newsletter: LLM's, Decolonity and Co-design We're in the final stretch of the first quarter of the year and what a busy few months it's been! From preparing for The BMJ Future Health South Asia ...)
February Newsletter: Equity, AI and Clinical Trials Is it too late to say “Happy New Year”? Well, we’re saying it anyway… a very Happy New Year from the BMJ Future Health team! We have lots of excitin ...
)
Technology has transformed various facets of life, including medicine, giving rise to innovative forms of care such as telemedicine and telehealth. While telehealth encompasses health information avai ...)
Artificial intelligence is making significant inroads into healthcare, diagnostics, workflows, and even medical education. But can AI truly take on the role of a teacher in medical training? “Can AI d ...)
Increasingly, patients are being asked to use digitalised healthcare platforms: scheduling appointments, Hospital at Home models, accessing lab results and patient-reported outcome data. This represen ...)
As virtual and hybrid care gain popularity, many healthcare systems face challenges with infrastructure, workflows, and reimbursement. This NEJM article discusses practical strategies to overcome the ...)
This systematic review and meta-analysis conducted by Lancet found that home-based cardiac rehabilitation delivered via mobile health technologies significantly improves patient outcomes. These digit ...)
A recent study in JAMA compared large language models like GPT-3.5 and GPT-4 to a dedicated AI expert system for diagnostic accuracy using clinical cases. The expert system outperformed the language m ...)
This study explores the ethical implications of using a “sensitive” virtual assistant (SVA), an AI-driven chatbot designed to support people in vulnerable positions, such as those with disabilities, i ...)
Key factors influencing clinicians adoption of AI included performance expectancy and available support. Additional themes such as clinician hesitancy, legal concerns, and physician involvement – also ...)
Ethnic minorities in England face persistent barriers to mental health care, worsened by the COVID-19 pandemic. This study highlights ongoing disparities, including cultural stigma, language barriers, ...)
Post-pandemic, telehealth has become a core part of healthcare, powered by remote monitoring and virtual care. Despite challenges with integration and reimbursement, real-time monitoring is transform ...)
Smaller countries face challenges in healthcare innovation procurement due to limited resources and expertise. To overcome these hurdles, European initiatives like joint procurement aim to foster coll ...)
In the next 25 years healthcare technologies, like pagers, fax machines, and paper records, are expected to disappear, replaced by digital automated systems. The Medical Futurist Institute’s Bertalan ...)
Artificial intelligence offers huge potential in healthcare from early disease detection to reducing clinician workload and improving diagnostic accuracy, but rolling it out too quickly can lead to wa ...)
Preventable diseases account for eight of the top ten causes of death in low- and middle-income countries (LMICs). These nations face significant healthcare challenges, including workforce shortages, ...)
Interoperability continues to be one of healthcare’s more prominent and recurring challenges. Despite a number of initiatives aiming to close the gap, there is still no universal approach. Countries l ...)
Rushing the adoption of AI in healthcare can lead to poor outcomes and wasted resources. A strategic, well-planned approach is key readiness assessments, pilot projects, and robust stakeholder engagem ...)
Embracing digital tools could save the NHS millions by streamlining administrative tasks and enhancing care delivery. But The Health Foundation examines which digital tools are actually saving time, w ...)
DATs can enhance autonomy, social interaction, and safety for people with dementia. While most studies report positive effects, some highlight negative outcomes like anxiety or resistance to technolog ...)
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 ...