Patient Engagement: AI Tools That Enhance Patient Communication, Education, and Adherence to Treatment Plans.

EasyChair Preprint 15121

Abstract

In an era where personalized healthcare is increasingly paramount, AI tools are emerging as powerful catalysts for enhancing patient engagement. This abstract explores the transformative role of artificial intelligence in improving patient communication, education, and adherence to treatment plans. AI-driven applications facilitate real-time communication between patients and healthcare providers, offering tailored educational resources that empower individuals to take charge of their health. By leveraging natural language processing and machine learning algorithms, these tools can analyze patient data to provide personalized reminders, answer questions, and deliver relevant information at critical moments in the care journey. Moreover, AI enhances adherence by monitoring patient behavior and providing timely interventions when adherence dips, ultimately fostering a collaborative approach to health management. As healthcare continues to evolve, integrating AI tools into patient engagement strategies promises to improve health outcomes, enhance patient satisfaction, and streamline the overall healthcare experience. This discussion underscores the potential of AI in creating more informed, engaged, and proactive patients in the healthcare system.

Keyphrases: Chatbots, Interactive Learning Tools, Patient literacy, Real-time messaging, Tailored content, Virtual health assistants

@booklet{EasyChair:15121,
  author    = {Adeyeye Barnabas},
  title     = {Patient Engagement: AI Tools That Enhance Patient Communication, Education, and Adherence to Treatment Plans.},
  howpublished = {EasyChair Preprint 15121},
  year      = {EasyChair, 2024}}