Integrating Advanced Technologies with Traditional Practices in Healthcare: Enhancing Patient Care Through AI

EasyChair Preprint 15344

Abstract

This article explores the integration of Artificial Intelligence (AI) with traditional healthcare practices to enhance patient care. It begins by outlining the transformative role of AI in healthcare, emphasizing its potential to improve diagnostic accuracy, predict health outcomes, and personalize treatment plans. The discussion highlights the strengths of conventional practices, such as the importance of human touch and established physician-patient relationships, while also addressing their limitations, including time constraints and susceptibility to human error.
The article details the benefits of integrating AI with traditional methods, including streamlined workflows and improved patient engagement. It presents successful case studies that demonstrate the positive impact of this integration on patient outcomes. Additionally, the article examines the challenges associated with AI adoption, such as ethical concerns, data privacy issues, and resistance from healthcare providers.
Looking to the future, the article discusses emerging trends in AI technology and the need for regulatory frameworks to ensure ethical implementation. Ultimately, it calls for collaboration among stakeholders to create a healthcare environment that balances technological advancements with the essential human elements of care, ensuring that the future of patient care remains effective, compassionate, and accessible.

Keyphrases: Diagnostic Accuracy, Healthcare, patient relationships

@booklet{EasyChair:15344,
  author    = {George Christopher and T Khinvasara and M Sokolova},
  title     = {Integrating Advanced Technologies with Traditional Practices in Healthcare: Enhancing Patient Care Through AI},
  howpublished = {EasyChair Preprint 15344},
  year      = {EasyChair, 2024}}