AIMC Topic: Health Personnel
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Ambiguous animals, ambivalent carers and arbitrary care collectives: Re-theorizing resistance to social robots in healthcare.
Social science & medicine (1982)
Dec 2, 2024
Many countries are under pressure because of lack of healthcare staff to provide care to an increasingly aged population. Potential solutions are often sought through technological innovation, including social robots to cater to the patients' emotion...
Regulating professional ethics in a context of technological change.
BMC medical ethics
Nov 27, 2024
BACKGROUND: Technological change is impacting the work of health professionals, especially with recent developments in artificial intelligence. Research has raised many ethical considerations respecting clinical applications of artificial intelligenc...
Natural language processing data services for healthcare providers.
BMC medical informatics and decision making
Nov 26, 2024
PURPOSE OF REVIEW: Embedding machine learning workflows into real-world hospital environments is essential to ensure model alignment with clinical workflows and real-world data. Many non-healthcare industries undergoing digital transformation have al...
Assessing the Usability and Effectiveness of an AI-Powered Telehealth Platform: Mixed Methods Study on the Perspectives of Patients and Providers.
JMIR formative research
Nov 25, 2024
BACKGROUND: Telemedicine has revolutionized health care by significantly enhancing accessibility and convenience, yet barriers remain, such as providers' challenges with technology use. With advancements in telemedicine technologies, understanding th...
The Effect of Ambient Artificial Intelligence Notes on Provider Burnout.
Applied clinical informatics
Nov 5, 2024
BACKGROUND: Healthcare provider burnout is a critical issue with significant implications for individual well-being, patient care, and healthcare system efficiency. Addressing burnout is essential for improving both provider well-being and the quali...
Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews.
Frontiers in public health
Nov 4, 2024
BACKGROUND: Progress in developing artificial intelligence (AI) products represented by large language models (LLMs) such as OpenAI's ChatGPT has sparked enthusiasm for their potential use in mental health practice. However, the perspectives on the i...
Implementing AI-Driven Bed Sensors: Perspectives from Interdisciplinary Teams in Geriatric Care.
Sensors (Basel, Switzerland)
Oct 23, 2024
Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI-driven technology for sleep monitoring can significantly enhance the rehabilitation process. Sleepsense, an AI-driven sleep-tracking device, provides...
[Can artificial intelligence help prevent suicide in healthcare workers?].
Archivos de prevencion de riesgos laborales
Oct 15, 2024
The EU Artificial Intelligence Act (2024): Implications for healthcare.
Health policy (Amsterdam, Netherlands)
Sep 7, 2024
In August 2024, the EU Artificial Intelligence Act (AI Act) entered into force. This legally binding instrument sets rules for the development, the placing on the market, the putting into service, and the use of AI systems in the European Union. As t...
Is artificial intelligence for medical professionals serving the patients? : Protocol for a systematic review on patient-relevant benefits and harms of algorithmic decision-making.
Systematic reviews
Sep 6, 2024
BACKGROUND: Algorithmic decision-making (ADM) utilises algorithms to collect and process data and develop models to make or support decisions. Advances in artificial intelligence (AI) have led to the development of support systems that can be superio...
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