Large language models for reducing clinicians’ documentation burden

被引:0
|
作者
Kirk Roberts
机构
[1] The University of Texas Health Science Center at Houston,McWilliams School of Biomedical Informatics
来源
Nature Medicine | 2024年 / 30卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Evaluation of a clinical summarization method based on GPT-4 suggests that such models might reduce the documentation burden on clinicians — but prospective evaluation with high-priority tasks will be the true test of its potential.
引用
收藏
页码:942 / 943
页数:1
相关论文
共 50 条
  • [1] Large language models for reducing clinicians' documentation burden
    Roberts, Kirk
    NATURE MEDICINE, 2024, 30 (04) : 942 - 943
  • [2] Large language models must serve clinicians, not the reverse
    Armitage, Richard
    LANCET INFECTIOUS DISEASES, 2024, 24 (05): : 453 - 454
  • [3] A Survey of Clinicians' Views of the Utility of Large Language Models
    Spotnitz, Matthew
    Idnay, Betina
    Gordon, Emily R.
    Shyu, Rebecca
    Zhang, Gongbo
    Liu, Cong
    Cimino, James J.
    Weng, Chunhua
    APPLIED CLINICAL INFORMATICS, 2024, 15 (02): : 306 - 312
  • [4] Reducing the documentation burden in process validation
    Santos-Serrao, Patricia
    Pharmaceutical Technology, 2016, 40 (01) : 43 - 44
  • [5] A Comparative Analysis of Large Language Models for Code Documentation Generation
    Dvivedi, Shubhang Shekhar
    Vijay, Vyshnav
    Pujari, Sai Leela Rahul
    Lodh, Shoumik
    Kumar, Dhruv
    PROCEEDINGS OF THE 1ST ACM INTERNATIONAL CONFERENCE ON AI-POWERED SOFTWARE, AIWARE 2024, 2024, : 65 - 73
  • [6] Leveraging Large Language Models for the Automated Documentation of Hardware Designs
    Fernando, Saruni
    Kunzelmann, Robert
    Lopera, Daniela Sanchez
    Al Halabi, Jad
    Ecker, Wolfgang
    2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024, 2024, : 165 - 170
  • [7] The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations
    Roustan, Dimitri
    Bastardot, Francois
    INTERACTIVE JOURNAL OF MEDICAL RESEARCH, 2025, 14
  • [8] Using Large Language Models to Investigate and Categorize Bias in Clinical Documentation
    Apakama, D.
    Klang, E.
    Richardson, L.
    Nadkarni, G.
    ANNALS OF EMERGENCY MEDICINE, 2024, 84 (04) : S96 - S97
  • [9] Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality
    Izquierdo-Domenech, Juan
    Linares-Pellicer, Jordi
    Ferri-Molla, Isabel
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2023,