Unlocking the potential of Artificial Intelligence: A guideline for deployment

Area of Science:

• Healthcare Technology
• Digital Health
• Artificial Intelligence in Medicine

Background:

• Artificial Intelligence (AI) is rapidly advancing healthcare delivery, offering significant potential for clinical decision support and administrative efficiency.
• The increasing integration of AI necessitates robust professional guidance for its safe and effective deployment in clinical settings.
• Current regulatory guidance for AI deployment across most health professions remains insufficient, creating a knowledge gap for clinicians.

Purpose of the Study:

• To examine the advantages of establishing an Allied Health Professional (AHP) guideline for the deployment of AI across diverse healthcare settings.
• To highlight the critical need for integrating digital education and literacy into professional development for healthcare practitioners.
• To equip healthcare professionals with the skills required to confidently evaluate and utilize AI solutions.

Main Methods:

• Review of existing AI deployment guidance, particularly within radiology, to identify best practices.
• Analysis of the potential benefits and challenges of a standardized AHP guideline for AI implementation.
• Emphasis on the importance of continuous professional development in digital literacy and AI evaluation.

Main Results:

• Radiology's comprehensive guidance serves as a potential benchmark for AI deployment standards applicable to AHPs.
• An AHP guideline can enhance the safe and effective use of AI, increasing practitioner confidence.
• Integrating digital education is crucial for equipping professionals at all levels with AI-relevant skills.

Conclusions:

• Developing an AHP guideline for AI deployment is advantageous for standardizing safe practices across healthcare.
• Continuous education in digital literacy and AI evaluation is essential for healthcare professionals.
• Such guidelines will empower practitioners to leverage AI technology responsibly and effectively.