AI-Powered Chatbots for Improving Patient Engagement and Mental Health Support
Abstract
This study evaluates the effectiveness of AI-powered chatbots in enhancing patient engagement and providing mental health support. We implemented a chatbot designed to offer real-time assistance and counseling to users. Analyzing user interactions and feedback, our findings reveal a significant increase in patient satisfaction and adherence to treatment plans. This research underscores the role of AI in bridging the gap between healthcare providers and patients, particularly in mental health services.
References
Elhassan, M., & Ali, A. (2023). Machine learning approaches for predicting hospital readmissions: A systematic analysis. Health Informatics Journal, 29(3), 305-318. https://doi.org/10.1177/14604582221053243
Foster, C., & Wang, Y. (2022). AI in mental health: Benefits and challenges. Journal of Mental Health, 31(4), 456-467. https://doi.org/10.1080/09638237.2022.2042653
Gupta, R., & Kumar, P. (2023). Leveraging machine learning for chronic disease management. Journal of Health Management, 25(2), 215-229. https://doi.org/10.1177/09720634211013984
Yadav, H. (2023). Securing and Enhancing Efficiency in IoT for Healthcare Through Sensor Networks and Data Management. International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-9.
Yadav, H. (2023). Enhanced Security, Privacy, and Data Integrity in IoT Through Blockchain Integration. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Yadav, H. (2023). Advancements in LoRaWAN Technology: Scalability and Energy Efficiency for IoT Applications. International Numeric Journal of Machine Learning and Robots, 7(7), 1-9.
Molli, V. L. P. (2020). The Interplay Between Osteoporosis and Peri-implantitis: Implications for Dental Implant Therapy. International Meridian Journal, 2(2), 1-20.
Molli, V. L. P. (2020). Impact of Thyroid Disorders on Peri-Implantitis: A Comprehensive Review. Journal of Healthcare Data Science and AI, 7(7), 1-11.
Molli, V. L. P. (2020). Exploring the Association Between Chronic Periodontitis and Peri-Implantitis: A Comprehensive Review. International Journal of Creative Research In Computer Technology and Design, 2(2), 1-10.
Molli, V. L. P. (2019). The Impact of Vitamin D and Calcium Deficiency on Peri-Implantitis: A Comprehensive Review. International Journal of Creative Research In Computer Technology and Design, 1(1), 1-20.
Kondru, V. L. P. (2019). The Interplay Between Autoimmune Diseases and Peri-implantitis: A Comprehensive Review. Journal of Healthcare Data Science and AI, 6(6), 1-21.
Kondru, V. L. P. (2018). Smoking and Peri-implantitis: Unraveling the Impact of Tobacco Use on Dental Implant Health. Journal of Healthcare Data Science and AI, 5(5), 1-12.
Kondru, V. L. P. (2017). Unraveling the Nexus: Exploring the Complex Relationship Between Diabetes and Periodontitis. Journal of Healthcare AI and ML, 4(4), 1-16.
Kondru, V. L. P. (2017). Interconnected Pathologies: Exploring the Relationship Between Rheumatoid Arthritis and Periodontitis. Transactions on Latest Trends in Health Sector, 9(9).
Kondru, V. (2017). The Impact of Hypophosphatemia on Chondrocyte Fate (Doctoral dissertation).
Kondru, V. L. P. (2016). Exploring the Interplay of Food Habits, Genetics, and Environment: Implications for Dental and General Health. International Journal of AI-Assisted Medicine , 3(3), 1-20.
Nadella, G. S., Meduri, S. S., Gonaygunta, H., & Podicheti, S. (2023). Understanding the Role of Social Influence on Consumer Trust in Adopting AI Tools. International Journal of Sustainable Development in Computing Science, 5(2), 1-18.
Nadella, G. S., Satish, S., Meduri, K., & Meduri, S. S. (2023). A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare. International Journal of Machine Learning for Sustainable Development, 5(3), 115-130.
Hernandez, J., & Lopez, S. (2023). Enhancing diagnostic accuracy with AI: A study of radiology. Radiology, 307(2), 412-420. https://doi.org/10.1148/radiol.2023231234