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What are the potential benefits and challenges of implementing AI-based Asa classification systems in clinical settings?

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Implementing AI-based Asa classification systems in clinical settings offers numerous benefits, such as enhancing inpatient care management, improving patient safety, assisting in disease assessment, diagnosis, and prognosis, and enabling personalized treatment plans through wearable devices and sensors . Additionally, AI can optimize care delivery, improve practice efficiency, accessibility, and overall quality of care in community medicine settings . However, challenges include the lack of transparency in AI decision-making, concerns about data privacy and security, hesitancy of healthcare professionals and patients to trust AI systems, and the need for effective data management and privacy protection . Furthermore, there is a risk of deskilling among healthcare workers due to overreliance on AI algorithms, emphasizing the importance of ongoing training and support to coexist with AI tools . Successful integration of AI in clinical settings requires addressing these challenges while leveraging the benefits it offers.

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Journal Article•DOI The promises and challenges of clinical AI in community paediatric medicine. Devin Singh, Sujay Nagaraj, Ryan C. Daniel, Colleen M. Flood, Dina M. Kulik, R. Flook, Anna Goldenberg, Michael Brudno, Ian G. Stedman - Show less +8 more 28 Mar 2023-Paediatrics and child health	AI in community paediatric medicine offers benefits like optimizing care delivery and improving practice efficiency. Challenges include data governance, practitioner education, regulation, reimbursement, and technology accessibility.
Journal Article•DOI Letter to the editor: “Revolutionizing clinical education: opportunities and challenges of AI integration” C Nyberg, Eleanor Cavell Morris - Show less +1 more 11 Apr 2023-Advances in physiotherapy	AI-based Asa classification systems can enhance patient care by aiding in assessment, diagnosis, and prognosis. Challenges include data management, training needs, deskilling risks, and potential biases.
Book Chapter•DOI Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review Luisa Blanco Raynal 01 Jan 2023	AI-based Asa classification systems in clinical settings offer benefits like improved decision-making. Challenges include lack of transparency, data quality, privacy concerns, and hesitancy among healthcare professionals and patients.
Proceedings Article•DOI Opportunities and challenges in the application of Artificial Intelligence-based technologies in the healthcare Industry 18 Nov 2022	AI-based Asa classification systems in clinical settings offer benefits like enhancing clinical personnel's learning and therapy processes. Challenges include the need for effective planning to adapt organizational structures for optimal utilization.
Proceedings Article•DOI Opportunities and challenges in the application of Artificial Intelligence-based technologies in the healthcare Industry Anjali Gautam, Abhijit Chirputkar, Pankaj Kumar Pathak - Show less +2 more 18 Nov 2022	AI-based Asa classification systems in clinical settings offer benefits like enhancing clinical personnel's learning and treatment processes. Challenges include adapting organizational structures and operations to effectively utilize AI technologies.

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