AIMC Topic: Attitude of Health Personnel

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Examining Physicians' Intentions to Use AI: The Roles of Accountability, Necessity, and Usefulness.

Studies in health technology and informatics
This study explores the under-researched area of how perceived necessity and accountability influence physicians' intention to use AI in healthcare. Conducted across three general hospitals in Taiwan, the research analyzed 398 valid responses from ph...

Clinical Trust in Data-Driven Decision Support Tools: Qualitative Interview Study.

Studies in health technology and informatics
Data-driven clinical decision support (CDSS) is increasingly available to healthcare practitioners (HCPs), yet little is known about their trust in such tools. Primary care and oncology practitioners were interviewed about their use of data-driven CD...

Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.

BMC medical education
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid development of "artificial intelligence" (AI) technology in healthcare systems. The dental curriculum lacks the integration of emerging technologies such as AI...

Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.

JMIR medical education
BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many potential applications to health care, including enhanced diagnostic accuracy and efficiency, improved treatment planning, and better patient outcomes. ...

Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.

BMC cancer
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...

Healthcare professionals' perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels.

BMC health services research
BACKGROUND: Artificial intelligence (AI) applications present opportunities to enhance the diagnosis, prognosis, and treatment of various diseases. To successfully integrate and utilize AI in healthcare, it is crucial to understand the perspectives o...

Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Artificial Intelligence (AI)-based approaches for extracting Social Drivers of Health (SDoH) from clinical notes offer healthcare systems an efficient way to identify patients' social needs, yet we know little about the acceptability of th...

The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.

Studies in health technology and informatics
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), p...

Artificial Intelligence in Medical Education.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
OBJECTIVE: To explore the understanding of medical students regarding the integration of AI in medical education.

Evaluation of Knowledge, Attitudes, and Practices among Healthcare Professionals toward Role of Artificial Intelligence in Healthcare.

The Journal of the Association of Physicians of India
BACKGROUND: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment planning, and patient management. However, the successful integration of AI depends on healthcare professionals' (HCPs) knowledge, attitudes, and ...