Academy of Marketing Studies Journal (Print ISSN: 1095-6298; Online ISSN: 1528-2678)

Short communication: 2023 Vol: 27 Issue: 5S

Healthcare and Chatgpt

Narasimha Rao M.V.A.L, Koneru Lakshmaiah Education Foundation (KLEF)

Kishore Babu B., Koneru Lakshmaiah Education Foundation (KLEF)

Citation Information: Narasimha Rao M.V.A.L., & Kishore, B. (2023). Healthcare and chatgpt. Academy of Marketing Studies Journal, 27(S5), 1-3.

Abstract

   

Introduction

The healthcare sector is continuously evolving and adapting, partly due to the introduction of new technology and advances, such as artificial intelligence (AI). Business organisations can now use conversational chatbots in multimodal conversational know-hows, including voice, keypad, gesture, and picture, thanks to progressions in speech recognition and natural language processing (NLP).

In 1966, ELIZA, a chatbot that mimicked a psychotherapist using pattern matching and answer selection, was the first to be utilised in healthcare. ELIZA, however, lacked knowledge and communication skills.

ChatGPT is a new technology that has the potential to transmute a extensive range of industries, including healthcare. This AI-powered chatbot is made to give patients immediate access to correct information and help.

Hurled in November 2022, ChatGPT (Chat Generative Pre-trained Transformer is a chatbot created by OpenAI. It has been improved (a method of transfer learning) by utilising both supervised and reinforcement learning strategies. It is based on the OpenAI GPT-3 family of big language models.

On top of GPT-3.5, ChatGPT, a generative pre-trained transformer (GPT), was fine-tuned using supervised learning and reinforcement learning (a method of transfer learning.Both strategies made use of human trainers to enhance the performance of the model.

A large pre-trained language model is used by Chat GPT to provide responses to text-based inputs. It is a machine learning model that can gain a grasp of natural language and produce suitable replies by learning from enormous volumes of data.

The transformer model, which processes input data through self-attention techniques, serves as the foundation for Chat GPT's design. A conversation's context can be understood by the model, which can then respond in a way that matches the tone and feeling of the input.

The following characteristics set Chat GPT apart from other chatbots:

1 Improved comprehension of natural language

2. Capable of handling lengthy chats

3. More empathetic responses

4. Capable of adapting to new activities and fields

5. Allows talks with multiple turns

ChatGPT's integration into the healthcare system offers both patients and clinicians a number of promising advantages. The use of ChatGPT as a virtual assistant in the healthcare industry is an important application. The use of telemedicine and AI-powered chatbots, such as ChatGPT, can improve access to healthcare and offer 24/7 medical help and guidance to patients from the comfort of their homes.

Prospective applications of ChatGPT for doctors

A Summary of Patient Data and Records

ChatGPT could be trained to serve as a digital assistant for doctors by using AI and machine learning. The technology would collect crucial data from patient records, classifying information into categories including lab findings, family history, symptoms, and current medications. Physicians can evaluate patient needs more quickly now that this information is easily accessible thanks to AI. This feature enables a sharper focus on the crucial components of patient care.

Improving Clinical Decision Making

Physician recommendations for patient care have historically relied heavily on clinical decision support systems. Using AI and machine learning methods to improve these systems may lead to better patient outcomes and treatment choices.

Better Patient Education

Utilizing the streamlined syntax of the algorithm, doctors can use ChatGPT to update patients on their progress during therapy. Nowadays, clinical notes that outline a patient's medical history, treatment options, and post-treatment steps are frequently written in technical terms that are confusing to people. For easier patient comprehension, ChatGPT may learn to condense medical notes, medicines, or even prescribed lifestyles.

By Responding to Patient Frequently asked Questions (FAQs.)

Since doctors frequently operate in hectic settings, it can be challenging for patients to speak with them directly and get their issues answered that may only seldom give patients regular, direct access to professional judgement. By completing the gaps in care information, ChatGPT can assist doctors. The algorithm's planned features are intended to provide patients with information regarding identifying and treating their diseases.

Simplify the Procedures

ChatGPT offers the potential to improve productivity, save costs, and streamline operations in the healthcare industry. ChatGPT's automation of ordinary tasks frees up medical staff to concentrate on difficult tasks, increasing productivity and effectiveness overall.

Patient Satisfaction & Engagement

Personalized health information that helps patients understand their symptoms and treatment options can improve patient involvement. As a result, patients are more satisfied and have greater faith in the medical care they receive.

Communication is made Easier

ChatGPT can help patients and healthcare professionals communicate, minimising the need for in-person visits and enabling patients to get care from home.

Uniformity in Discharge Summaries

Clinicians can use ChatGPT to quickly create a formal discharge report by entering a brief of the details to include, concepts to comment on, and instructions to explain. Due to their generally standardised nature, discharge summaries are a logical choice for this technology; this standardisation was already acknowledged through the development of prototypes.

Received: 20-Feb-2023, Manuscript No. AMSJ-23-13240; Editor assigned: 21-Feb-2023, PreQC No. AMSJ-23-12913(PQ); Reviewed: 21-Apr-2023, QC No. AMSJ-23-12913; Revised: 20-May-2023, Manuscript No. AMSJ-23-12913(R); Published: 04-Jun-2023

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