ADVANCING TELEHEALTH THROUGH ARTIFICIAL INTELLIGENCE: INCORPORATING EMOTIONAL INTELLIGENCE AND ADDRESSING CYBERSECURITY CHALLENGES

Author

Mahima Rajendra Pulgaonkar, California State University - San BernardinoFollow

Date of Award

8-2024

Document Type

Project

Degree Name

Master of Science in Information Systems and Technology

Department

Information and Decision Sciences

First Reader/Committee Chair

Shayo, Conrad

Abstract

This culminating experience project explores the integration of Emotional Artificial Intelligence (Emotional AI) into telehealth systems, addressing the dual challenges of enhancing patient care and mitigating cybersecurity risks. The research questions are: (Q1) How can Emotionally Intelligent AI improve telehealth systems' ability to recognize and respond to mental health symptoms? and (Q2) What are the specific cybersecurity challenges associated with AI in telehealth and how can they be mitigated? The findings for each question are: Q1: Emotionally Intelligent AI can significantly enhance telehealth by providing personalized, empathetic interactions that improve patient engagement, adherence to treatment plans, and early detection of mental health issues. AI-driven chatbots and virtual assistants, equipped with natural language processing and machine learning capabilities, offer real-time emotional support and tailored therapeutic interventions, leading to improved mental health outcomes. Q2: integrating AI into telehealth presents significant cybersecurity challenges, including data privacy issues, unauthorized access, and the necessity for robust encryption and access control measures. Addressing these challenges requires a multi-faceted approach, including the implementation of standardized cybersecurity protocols, continuous monitoring, and adherence to regulatory frameworks such as HIPAA and GDPR. The conclusions drawn from this study are twofold: (1) Emotionally Intelligent AI holds substantial promise for enhancing the effectiveness and empathy of telehealth services, particularly in mental health care, and (2) Effective mitigation of cybersecurity risks is crucial for the safe and ethical deployment of AI in telehealth. Future research should focus on long-term studies to assess the sustained impact of Emotional AI on patient outcomes and the development of advanced cybersecurity measures tailored to the unique needs of AI-driven telehealth systems.

Recommended Citation

Pulgaonkar, Mahima Rajendra, "ADVANCING TELEHEALTH THROUGH ARTIFICIAL INTELLIGENCE: INCORPORATING EMOTIONAL INTELLIGENCE AND ADDRESSING CYBERSECURITY CHALLENGES" (2024). Electronic Theses, Projects, and Dissertations. 2008.
https://scholarworks.lib.csusb.edu/etd/2008