Addressing Model Inconsistencies and Latency Challenges in LLM-Driven Emergency Medical Documentation: A Commentary...Bai E, Luo X, Zhang Z, et al. Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services. Journal of Medical Systems. 2025;49(1):1-19.

Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 3
Autores principales: Yu, Zekai, Liu, Siyi
Formato: commentary letter Journal Article
Publicado: Springer Nature 6/27/2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Addressing Model Inconsistencies and Latency Challenges in LLM-Driven Emergency Medical Documentation: A Commentary...Bai E, Luo X, Zhang Z, et al. Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services. Journal of Medical Systems. 2025;49(1):1-19.
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          Yu, Zekai
          Liu, Siyi
        affil: https://ror.org/0576gt767 School of Computer Science and Technology, Hangzhou Dianzi University, No. 1158, No. 2 Road, Xiasha Higher Education Zone, 310018, Hangzhou, Zhejiang Province, PR China
      sug:
        subj:
          Natural Language Processing Evaluation
          Electronic Health Records
          Documentation
          Automation
          Emergency Medical Services
          Emergency Service Information Systems
          Reliability
          Artificial Intelligence, Generative
          Workflow
          Intensive Care Units
      pubtype: Academic Journal
      doctype:
        commentary
        letter
        Journal Article
      ougenre: Unknown
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    language: English
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