Artificial intelligence (AI) integration has become a revolutionary force in the quickly changing healthcare industry. With the goal of offering insights into the current level of AI adoption and the factors influencing healthcare workers’ attitudes towards this technology, this paper uses an integrative review to investigate the acceptability of AI among healthcare professionals within hospital settings.
Present Situation
Artificial intelligence (AI), which includes robots, machine learning, and natural language processing, has the potential to completely change the way healthcare is provided, from diagnosis to treatment planning. It is essential to comprehend the viewpoints of healthcare professionals because their adoption of AI has a direct impact on how well these technologies are used in hospital settings.
Perceived Utility and Efficacy
Medical practitioners evaluate artificial intelligence (AI) according to how well they believe it will improve patient outcomes. Research shows that when AI is viewed as a useful tool that improves treatment planning, diagnosis accuracy, and overall healthcare delivery efficiency, acceptance rates are greater.
Training and Familiarity
Healthcare workers’ acceptance of AI technologies is greatly influenced by their level of training and familiarity with the technology. A favourable attitude towards integration is influenced by having sufficient education and practical experience with AI systems; on the other hand, a lack of familiarity might breed resistance and scepticism.
Trust and Reliability
One of the main factors affecting acceptance of AI systems is trust. Concerns over AI algorithms’ dependability are voiced by healthcare practitioners, especially when making intricate medical decisions. Creating clear and understandable AI models is a prerequisite for achieving broad acceptance.
Ethical and Legal Considerations
Healthcare professionals’ acceptance of AI is greatly influenced by ethical concerns, which include patient privacy, data security, and the possible effects on the doctor-patient relationship. To resolve these issues, a precise legal framework and ethical standards are necessary.
Workflow Integration
AI’s acceptability in healthcare depends on how well it fits into the current workflows. When AI streamlines operations and enhances daily duties rather than upending established routines, healthcare personnel are more willing to adopt it.
Conclusion
The multifaceted character of healthcare workers’ acceptance of AI in hospital settings is highlighted by this integrative review. Promoting a positive attitude towards the deployment of AI becomes increasingly important as the healthcare landscape continues to change. Future efforts ought to concentrate on thorough training courses, open communication regarding AI’s potential and constraints, and the development of moral standards to allay the worries of medical professionals.
