Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 14 | Views: 515 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Science and Information Technology | United States of America | Volume 13 Issue 2, February 2024 | Popularity: 5.3 / 10


     

Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy

Parul Batra, Deep Manishkumar Dave


Abstract: This paper explores the evolving landscape of patient engagement in healthcare, emphasizing the pivotal role of artificial intelligence (AI). It delves into the historical context of patient - provider dynamics, shifting from a predominantly authoritative approach to a more collaborative and tech - driven model. The paper highlights the impact of digital technologies like health apps, AI - driven chatbots, and virtual health assistants in personalizing patient education, improving treatment adherence, and enhancing overall patient care. Additionally, it examines various applications of AI in healthcare, from diagnostics to personalized treatment and administrative efficiency, underscoring the potential of AI to revolutionize healthcare delivery and patient engagement.


Keywords: Artificial Intelligence, Digital Healthcare, Healthcare Technology, Patient Engagement, Personalized Medicine, Technological Innovation, Virtual Health Assistants


Edition: Volume 13 Issue 2, February 2024


Pages: 273 - 280


DOI: https://www.doi.org/10.21275/SR24201070211


Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait





Text copied to Clipboard!
Parul Batra, Deep Manishkumar Dave, "Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy", International Journal of Science and Research (IJSR), Volume 13 Issue 2, February 2024, pp. 273-280, https://www.ijsr.net/getabstract.php?paperid=SR24201070211, DOI: https://www.doi.org/10.21275/SR24201070211

Top