Authors:
Sai Santhosh, Bhooja Krishna, Muhammad Al-Amin, V. Pradeep

Addresses:
1,2Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. 3Department of International Relations, Sichuan University, Chengdu, China. 4Department of Master of Business Administration, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. ss5420@srmist.edu.in1, gk0197@srmist.edu.in2, alamin2022@stu.scu.edu.cn3, pradeep@dhaanishcollege.in4 

Abstract:

Health-advising chatbots have emerged as innovative tools for providing personalized healthcare guidance and support in the digital age. This abstract explores the role and potential of health advising chatbots in improving healthcare delivery and promoting individual well-being. The abstract discusses the increasing demand for accessible and convenient healthcare solutions driven by rising healthcare costs, limited access to healthcare professionals, and the need for timely health information. It highlights the limitations of traditional healthcare delivery models and the potential of chatbots to address these challenges through their ability to deliver timely, tailored advice and support to users. Next, the abstract explores key features and functionalities of health advising chatbots, including natural language processing capabilities, personalized recommendations, and integration with healthcare systems and databases. It discusses how chatbots can leverage machine learning algorithms and medical knowledge bases to provide accurate and reliable health information, symptom assessment, and self-care guidance. Furthermore, the abstract examines the benefits of health advising chatbots for users, healthcare providers, and healthcare organizations. It discusses how chatbots can empower users to take control of their health, make informed decisions, and access healthcare resources more efficiently. Additionally, it explores how chatbots can support healthcare providers by automating routine tasks, reducing administrative burdens, and improving patient engagement and adherence to treatment plans. The abstract also addresses the challenges and limitations of health advising chatbots, including concerns about data privacy and security, accuracy of medical information, and user trust and acceptance. It emphasizes addressing these challenges through rigorous testing, validation, and ongoing monitoring of chatbot performance and user feedback.

Keywords: Symptoms and Diagnosis; Treatment Options; Medications and Prevention; Healthy Lifestyle; Mental Health; Stress Management; Healthcare Providers; Health Insurance; Medical History; Chronic Conditions; Emergency Assistance.

Received on: 03/07/2023, Revised on: 29/09/2023, Accepted on: 15/10/2023, Published on: 24/12/2023

FMDB Transactions on Sustainable Technoprise Letters, 2023 Vol. 1 No. 4, Pages: 204-222

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