Conversational Artificial Intelligence

38Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security

Jami Venkata Suman^1*, Farooq Sunar Mahammad², M. Sunil Kumar³, B. Sai Chandana⁴, and Sankararao Majji⁵

¹Department of ECE, GMR Institute of Technology, Rajam, Andhra Pradesh, India

²Department of Computer Science Engineering, Santhiram Engineering College Nandyal, Nandyal, Andhra Pradesh, India

³Department of Computer Science and Engineering, School of Computing, Mohan Babu University (erstwhile Sree Vidyanikethan Engineering College), Tirupathi, AP, India

⁴School of Computer Science and Engineering, VIT-AP University, Amaravathi, India

⁵Department of ECE, GRIET, Hyderabad, India

Abstract

While the widespread adoption of healthcare information technology has many positive outcomes, it has also presented new obstacles for protecting patient information. Natural language processing (NLP)-enabled conversational artificial intelligence (AI) agents are becoming increasingly useful in the healthcare industry as a means to improve both patient encounters and administrative workflows. Due to its sensitive nature, healthcare data must be protected by strict security procedures. This research delves into NLP in conversational AI agents’ potential for enhancing healthcare’s security infrastructure. We talk about how entity recognition, sentiment analysis, and anomaly detection are just some of the NLP-driven tactics that may be used to strengthen healthcare data security. Furthermore, ...