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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 ...
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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 ...