International Journal of Analog Integrated Circuits
Enhanced Healthcare Voice Assistant: Integrating Sentimental Support and Medical Assistance for Improved Patient Engagement (QUANTUM WELL F7)
Kavitha C.,Department of Computer Science, Cambridge Institute of Technology-North Campus, Bengaluru, Karnataka, India
Niranjan J.,Department of Computer Science, Cambridge Institute of Technology-North Campus, Bengaluru, Karnataka, India
Karthik B.R. ,Department of Computer Science, Cambridge Institute of Technology-North Campus, Bengaluru, Karnataka, India
Meghana M.,Department of Computer Science, Cambridge Institute of Technology-North Campus, Bengaluru, Karnataka, India
Abstract
Healthcare systems are increasingly leveraging voice assistant technology to provide convenient and accessible medical assistance to patients. In this paper, we propose an enhanced healthcare voice assistant that integrates sentimental support capabilities with medical assistance features. The voice assistant employs advanced natural language processing (NLP) algorithms to analyze user sentiments and provide empathetic responses, while also offering personalized medical advice and assistance. We evaluate the effectiveness of the proposed system through user studies and analyze its impact on patient engagement and satisfaction. Preliminary results demonstrate the potential of the enhanced healthcare voice assistant in improving the overall healthcare experience for patients
Keywords: natural language processing, healthcare voice assistant, emotional intelligence, sentimental and medical support, Mobile Phones, Medical Assistant.
Keywords
References (20)
- Smith, , Johnson, B., & Williams,
- (2019). "Enhancing Patient Engagement through Voice Assistant Technology." Journal of Healthcare Informatics, 12(3), 211- 225.
- Garcia, , Rodriguez, D., & Martinez, E. (2020). "Integrating Sentiment Analysis into Healthcare Voice Assistants." IEEE Transactions on Biomedical Engineering, 67(5), 1453-1462.
- Chen, L., Wang, J., & Liu, H. (2018). "Design and Implementation of a Sentiment-Based Chatbot for Mental Health Support." Journal of Medical Internet Research, 20(2),
- Kim, , Lee, H., & Park, J. (2021).
- "Improving Medical Assistance in Healthcare Chatbots through Machine Learning Techniques." IEEE Journal of Biomedical and Health Informatics, 25(4), 1098-1106.
- Patel, , Gupta, S., & Sharma, A. (2019). "A Review of Sentiment Analysis Techniques for Healthcare Applications." Journal of Healthcare Engineering, 10(2), 133-145.
- Li, X., Zhang, Y., & Wang, L. (2020). "Enhancing Emotional Support in Healthcare Chatbots through User- Centered " International Journal of Human-Computer Interaction, 36(7), 632-647.
- Wang, , Liu, X., & Zhang, L. (2022). "Sentiment Analysis in Healthcare: Challenges and
- " IEEE Transactions on Big Data, 8(1), 238-251.
- Johnson, M., Brown, K., & Jones, R. (2019). "User-Centered Design of Healthcare Chatbots: Lessons Learned from Patient " Journal of Medical Internet Research, 21(3), e11084.
- Garcia, , Martinez, J., & Rodriguez,
- (2021). "Towards Personalized Healthcare Chatbots: A Machine Learning Approach." IEEE Access, 9, 20120-20130.
- Patel, , Shah, S., & Desai, M. (2020). "Voice Assistant Technology in Chronic Disease Management: A Review." Journal of Clinical Nursing, 29(5-6), 745-754.
- Kim, J., Lee, S., & Park, H. (2018). "Design and Implementation of a Healthcare Voice Assistant for Elderly Users." IEEE Access, 6, 54163-54173.
- Wang, Y., Zhang, X., & Liu, Y. (2021). "Emotion Detection in Healthcare Chatbots: A Comparative Study." International Journal of Environmental Research and Public Health, 18(4), 1865.
- Chen, , Xu, H., & Zhang, Q. (2019). "A Survey on Sentiment Analysis Techniques for Healthcare
- " Journal of Ambient Intelligence and Humanized Computing, 10(4), 1479-1491.
- Gupta, A., Arora, S., & Sharma, R. (2020). "Integrating Emotion
- Recognition into Healthcare Chatbots: A Case " IEEE Journal of Biomedical Engineering, 67(3), 984-992.