ChatGPT for Healthcare Sector: SWOT Analysis

Journal of Clinical Medical Research, 2023

ChatGPT is forging a revolution in the realm of human-computer interaction, establishing new paradigms for what artificial intelligence can achieve. Also known as the Generative Pretrained Transformer (GPT), ChatGPT represents a groundbreaking evolution in AI that possesses the ability to generate human-like text. Emerging as a potent asset in various fields, including healthcare, ChatGPT holds substantial transformative potential. This document seeks to provide an extensive exploration of ChatGPT, its functionalities and its implications in the healthcare sector. It scrutinizes the evolution of ChatGPT, the architectural foundation it is built upon and the methodologies employed in its training. The document further explores the applications of ChatGPT in healthcare, emphasizing its role in diagnosis, treatment formulation, patient communication, decision support and spearheading research advancements. Moreover, the document tackles the challenges and risks related to the integration of ChatGPT in healthcare, such as concerns about data privacy, potential biases and ethical deliberations. Finally, it discusses the prospects and future trajectories of ChatGPT in revolutionizing healthcare delivery, enhancing patient outcomes and promoting medical knowledge. By offering an extensive understanding of ChatGPT, this document serves as a beneficial reference for researchers, healthcare professionals and policymakers aiming to delve into the potential of this technology in healthcare. Overall, this document meticulously outlines ChatGPT's capacity to transform healthcare and advocates for further exploration and assimilation of AI technologies to propel the field forward.

IRJET, 2021

Healthcare is extremely important to steer a decent life. It plays a terribly crucial role in our days to day life. However, it's very problematic to obtain the consultation with the doctor for each health problem. The intention is to form a medical chatbot exploitation computer science which will give a suggestion of specialist doctor of a selected disease. this can facilitate to boost accessibility to medical data through medical chatbot. The chatbots are computer programs that use language to move with users. The chatbot stores the info within the info to spot the sentence keywords and to form a query call and answer the question. For this work, neural networks are used to train information and numerous packages that facilitate us in giving satisfactory results. during this chatbot we are going to be integration the ideas of Natural Language process with Deep Learning for recuperating results. care plays a good role in our daily lives, whenever someone feels sick, he/she visits their general practitioner or any close clinic simply to induce to understand what problems they are facing, within the recent years several organization & corporations have collaborated with hospitals to produce support which might facilitate doctors and medical workers to contend with patients in higher method and reduce their labour with the help of technology, not solely it helps the doctors however additionally the patients. the most aim of project is to assist you higher visualize the presentation of mined information (information).

Advances in Multidisciplinary and Scientific Research Journal, 2022

Artificial Intelligence and its application in healthcare delivery has led to the development of chatbot. Artificial Intelligence is concerned with development of machines that simulates intelligence of human expert in a domain to perform complex task associated with human. The need for urgent healthcare delivery is essential to all humans. Artificial Intelligence provides the platform to meet this need and resolve the associated challenges through the use of chatbot in healthcare delivery. Chatbot leverages branches of Artificial Intelligence such as Natural Language Processing and Machine Learning and features like word segmentation and tokenization to provide appropriate response to patients requiring immediate healthcare service. This paper aim to review the process of chatbot in healthcare delivery.

International Journal of Innovative Research in Computer Science and Technology (IJIRCST), 2025

This study provides a systematic evaluation and comparative analysis of current research on AI-powered chatbots designed as virtual medical assistants, emphasizing the core technical frameworks and innovations driving their development. While existing literature in this domain is extensive, this study systematically evaluates advancements in healthcare chatbots by classifying methodologies according to their design principles and operational frameworks. The analysis examines experimental approaches, evaluation metrics, and researcher conclusions, as well as documented performance benchmarks. By synthesizing insights from prior studies, the paper identifies enduring challenges, including training data biases, constraints in contextual understanding, and ethical dilemmas in patient engagement. Serving as a comparative resource, this review clarifies distinctions among healthcare chatbot models, which play a growing role in improving remote healthcare access. Building on these findings, the paper introduces a novel AI-driven healthcare chatbot framework that combines natural language processing (NLP), machine learning (ML), and domain-specific medical expertise. The proposed system enables users to check symptoms early and get reliable health advice from home, acting as a first step before visiting a doctor. It’s built to balance three priorities: getting the facts right (accuracy), handling thousands of users at once (scalability), and keeping costs low so even small clinics can afford it. By tackling these areas, the goal is to make healthcare more accessible—whether you’re in a busy city or a remote village. Faster access to guidance means fewer delays in catching serious issues early, which could save lives through smarter use of health data.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

As we all know, "What happens when a coronavirus pandemic strikes," and we require access to medical services 24 hours a day, seven days a week, we came up with the notion of a healthcare chatbot. As Healthcare chatbots offer a personalized approach to every user; in ways that can be more convenient, and efficient that they surpass human capabilities. It's crucial to remember that, while chatbots can provide useful facts and symptoms, they aren't equipped to make a formal diagnosis. This project makes predictions about various illnesses using the machine learning algorithm. The chatbot will ask to state the symptoms which the user is experiencing. The user can state their symptoms one by one and receive the predicted output. The user can state their symptoms one by one and receive the predicted output. It will also provide the description of the illness occurring based on the symptoms. The main premise behind these talking or texting is smart machine learning algorithms is to become the first point of contact before any human involvement is needed.

IRJET, 2021

People are increasingly using voice assistants and chatbots to connect with systems. The days of interacting with a service only through a keyboard are long gone. Artificial Intelligence and Natural Language Processing developments have supported these new types of user interaction. Many software services are using conversational bots as a standard user interface. Conversational Bots will come in really handy whenever we need any human level interaction using the system. For minor issues, the user must travel to the hospital for a checkup , which takes additional time. Because of the dread of the COVID-19 sickness spreading, no one wants to go to the hospital right now. This problem can be solved by utilising a medical Chatbot that can respond to a variety of user questions. The proposed solution is to develop a chatbot that mimics a human interaction in order to assist customers with their banking needs and give a more personalised experience. Artificial intelligence advancements, machine learning techniques, greater decision-making aptitude, and enhanced domain and corpus availability have boosted the practicality of incorporating a conversation bot into applications.

People are increasingly using voice assistants and chatbots to connect with systems. The days of interacting with a service only through a keyboard are long gone. Artificial Intelligence and Natural Language Processing developments have supported these new types of user interaction. Many software services are using conversational bots as a standard user interface. Conversational Bots will come in really handy whenever we need any human level interaction using the system. For minor issues, the user must travel to the hospital for a checkup , which takes additional time. Because of the dread of the COVID-19 sickness spreading, no one wants to go to the hospital right now. This problem can be solved by utilising a medical Chatbot that can respond to a variety of user questions. The proposed solution is to develop a chatbot that mimics a human interaction in order to assist customers with their banking needs and give a more personalised experience. Artificial intelligence advancements, machine learning techniques, greater decision-making aptitude, and enhanced domain and corpus availability have boosted the practicality of incorporating a conversation bot into applications.

IRJET, 2021

Leading good and healthy lifestyle is very important. It is very difficult to do get medical advice in case you have any health problems. The proposed idea to do a medical discussion using machine learning that will be able to diagnose the disease and provide basic information about disease before consulting a doctor, reducing the cost of health care and development access to medical information.. Few conversations work as reference books, which help the patient find out about the illness and help improve their well-being. The user is only able to make significant chat benefits diagnosing all diseases and providing the necessary information. Therefore, people will have an idea of their own health and well-being protection.

Normally Users are not aware about all the treatment or symptoms regarding the particular disease. For small problem user have to go personally to the hospital for checkup which is more time consuming. Also handling the telephonic calls for the complaints is quite hectic. Such a problem can be solved by using medical ChatBot by giving proper guidance regarding healthy living. The medical chat-bots functioning depends on Natural language processing that helps users to submit their problem about the health. The User can ask any personal query related to health care through the chat-Bot without physically available to the hospital. By Using Google API for voice-text and text-voice conversion. Query is sent to ChatBot and gets related answer and display answer on android app. The System's major concern behind developing this web based platform is analysing customer's sentiments.

IRJET, 2020

To start a good life healthcare is very important. But it is very difficult to the consult the doctor if any health issues. The proposed idea is to create a healthcare chatbot using Natural Language Processing technique it is the part of Artificial Intelligence that can diagnose the disease and provide basic. To reduce the healthcare costs and improve accessibility to medical knowledge the Healthcare chatbot is built. Some chatbots acts as a medical reference books, which helps the patient know more about their disease and helps to improve their health. The user can achieve the benefit of a healthcare chatbot only when it can diagnose all kind of disease and provide necessary information. The system provides text or voice assistance, that means user can use his own convenient language, Bot will provides which type of disease based on the user symptoms, and provides doctor and also provides food suggestion that means which type of food you have to take. Thus, people will have an idea about their health and have the right protection.. Chatbots are programs that work on Machine Learning (ML) as well as Artificial Intelligence (AI)Natural Language Processing (NLP) techniques such as NLTK for Python can be applied to analyses speech, and intelligent responses can be found by designing an engine to provide appropriate human like responses.