ChatGPT and the healthcare industry: a comprehensive analysis of its impact on medical writing

被引:4
|
作者
Awal, Sandeep Singh [1 ]
Awal, Sudeep Singh [2 ]
机构
[1] Jeevandeep Diagnost, Dept Radiol, Jamshedpur, India
[2] Karim City Coll, Dept Mass Commun & Journalism, Jamshedpur, India
来源
JOURNAL OF PUBLIC HEALTH-HEIDELBERG | 2023年
关键词
ChatGPT; Artificial intelligence; Medical writing; Healthcare;
D O I
10.1007/s10389-023-02170-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
PurposeThis article aims to explore the benefits and drawbacks of incorporating ChatGPT, an artificial intelligence language model, in medical writing and its potential impact on the healthcare field.MethodA literature review was conducted using PubMed databases to search for relevant articles on the use of ChatGPT in medical writing. Inclusion and exclusion criteria were established, resulting in a total of 48 papers retrieved from PubMed, with one article listing ChatGPT as a co-author. These articles were analyzed to provide a comprehensive review of the benefits and shortcomings of ChatGPT in medical writing.ResultsThe incorporation of ChatGPT in medical writing offers several potential benefits, including increased efficiency, cost-effectiveness, standardization, and accessibility. ChatGPT can streamline the writing process, save time, and generate preliminary drafts for medical writers to refine. It can also ensure consistent formatting, style, and terminology, making medical documents more comprehensible and accessible to healthcare professionals and patients. However, ChatGPT has limitations and potential shortcomings, such as the lack of expertise compared to human medical writers, reliance on data quality, lack of adaptability, and ethical implications.ConclusionsWhile ChatGPT can assist in medical writing, it cannot replace human medical writers or healthcare professionals. The expertise and judgment of human professionals are crucial in ensuring accurate and comprehensive medical reports. Nevertheless, implementing ChatGPT in the healthcare industry has the potential to standardize and improve the accessibility of medical information, enhancing patient participation and health outcomes. Thorough consideration of ethical and legal implications is necessary to ensure responsible usage. Further research is required to fully explore the benefits and shortcomings of ChatGPT in medical writing. Additionally, the question of whether ChatGPT should be included as a co-author warrants further discussion.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany
    Roos, Jonas
    Kasapovic, Adnan
    Jansen, Tom
    Kaczmarczyk, Robert
    JMIR MEDICAL EDUCATION, 2023, 9
  • [42] Medical hotels in the growing healthcare business industry: Impact of international travelers' perceived outcomes
    Han, Heesup
    Kim, Yunhi
    Kim, Chulwon
    Ham, Sunny
    JOURNAL OF BUSINESS RESEARCH, 2015, 68 (09) : 1869 - 1877
  • [43] ChatGPT Analysis of Strengths and Weaknesses in English Writing and Their Implications
    Li Z.
    Huang Q.
    Liu J.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [44] The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education
    Heng, Jonathan J. Y.
    Teo, Desmond B.
    Tan, L. F.
    POSTGRADUATE MEDICAL JOURNAL, 2023, 99 (1176) : 1125 - 1127
  • [45] Unveiling ChatGPT's Scholarly Journey: A Comprehensive Bibliometric Analysis of Research Impact and Collaboration Dynamics
    Islam, Md. Nurul
    Aziz, Md. Tarik Been
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023, 2025, 1273 : 353 - 363
  • [46] A Comprehensive Study of the Trends and Analysis of Distributed Ledger Technology and Blockchain Technology in the Healthcare Industry
    Thakur, Anusha
    FRONTIERS IN BLOCKCHAIN, 2022, 5
  • [47] The impact of ChatGPT on learners in English academic writing: opportunities and challenges in education
    Yuan, Ye
    Li, Huan
    Sawaengdist, Anan
    LANGUAGE LEARNING IN HIGHER EDUCATION, 2024, 14 (01) : 41 - 56
  • [48] Medical image super-resolution for smart healthcare applications: A comprehensive survey
    Umirzakova, Sabina
    Ahmad, Shabir
    Khan, Latif U.
    Whangbo, Taegkeun
    INFORMATION FUSION, 2024, 103
  • [49] ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research
    Ruta, Michael R.
    Gaidici, Tony
    Irwin, Chase
    Lifshitz, Jonathan
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2025, 27
  • [50] AI's next frontier: The rise of ChatGPT and its implications on society, industry, and scientific research
    Ramos, Leo
    Marquez, Ronald
    Francklin, Francklin
    CIENCIA E INGENIERIA, 2023, 44 (01): : 131 - 148