AIMC Topic: Attitude of Health Personnel

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Attitudes to a robot bathtub in Danish elder care: A hermeneutic interview study.

Nursing & health sciences
In Western countries, assistive technology is implemented on a large scale in elder care settings. Only a few studies have attempted to explore the different attitudes to assistive technology among various groups of users. In this study, we investiga...

The first step in using a robot in brain injury rehabilitation: patients' and health-care professionals' perspective.

Disability and rehabilitation. Assistive technology
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and was used for communication when assessing independent living skills, and for security monitoring of co...

Mental Health Professionals' Perspectives on Digital Remote Monitoring in Services for People with Psychosis.

Schizophrenia bulletin
BACKGROUND AND HYPOTHESIS: Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared...

Perceptions of artificial intelligence in healthcare: a qualitative study among healthcare professionals in Jordan.

BMJ leader
PURPOSE: While there are studies on this topic, there may be a relative scarcity of research focusing on specific regions, such as Jordan. So, this study aims to gather insights from healthcare providers in Jordan concerning the advantages of integra...

Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.

Medical education online
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...

When Machines Decide: Exploring How Trust in AI Shapes the Relationship Between Clinical Decision Support Systems and Nurses' Decision Regret: A Cross-Sectional Study.

Nursing in critical care
BACKGROUND: Artificial intelligence (AI)-based Clinical Decision Support Systems (AI-CDSS) are increasingly implemented in intensive care settings to support nurses in complex, time-sensitive decisions, aiming to improve accuracy, efficiency and pati...

Nursing Academic Reviewers' Perspectives on AI-Assisted Peer Review: Ethical Challenges and Acceptance.

International nursing review
AIM: This study aimed to explore the perceptions, experiences, and ethical considerations of nursing academic reviewers regarding the integration of artificial intelligence (AI) into the peer review process, with a focus on acceptance dynamics and im...

Digital Health Experiences of Primary Care Nurses: A Qualitative Meta-synthesis.

International nursing review
AIM: To analyze primary care nurses' experiences of integrating and using digital health in their daily practice.

Enhancing Work Efficiency With Generative Artificial Intelligence: Experience and Training Insights From School Nurses Through Focus Groups and Surveys.

International nursing review
AIM: This study examined the use of generative artificial intelligence (GAI), factors related to its application, and training expectations among school nurses who enrolled as seed instructors in a GAI training program.