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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Shifts in emergency physicians' attitudes toward large language model-based documentation: a pre- and

Seongwon Lee1, Ji Woo Song2, Seng Chan You3,4

  • 1Yonsei Institute for Digital Health, Yonsei University, Seoul, Korea.

Scientific Reports
|November 25, 2025
PubMed
Summary
This summary is machine-generated.

Large language models (LLMs) significantly reduce physician workload and concerns when used for emergency department discharge notes. Doctors readily accept and benefit from these AI assistants in clinical settings.

Keywords:
Emergency service, hospitalLongitudinal studiesNatural language processingSurveys and questionnairesWorkload

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Physician burnout is a significant concern in healthcare.
  • Efficient documentation is crucial for patient care and operational efficiency.
  • The integration of Artificial Intelligence (AI) into clinical workflows presents both opportunities and challenges.

Purpose of the Study:

  • To evaluate the impact of Large Language Models (LLMs) on emergency department physician workload.
  • To assess physician attitudes and concerns regarding AI adoption in medical documentation.
  • To provide real-world evidence on the acceptance and benefits of AI assistants in clinical settings.

Main Methods:

  • A study involving eight experienced emergency physicians.
  • Surveys administered before, during (3 days), and after (5 weeks) LLM usage for discharge notes.
  • Quantitative and qualitative assessment of perceived workload and AI-related concerns.

Main Results:

  • Physician concerns about using LLMs decreased significantly and remained low over time.
  • LLM usage reduced the time required to write discharge notes by approximately one-third.
  • Doctors demonstrated ready acceptance and perceived benefits from LLM assistance.

Conclusions:

  • LLM assistants are readily accepted by physicians and effectively reduce workload in emergency departments.
  • AI documentation tools show promise for improving efficiency and addressing physician burnout.
  • This study offers valuable insights into the long-term integration of AI in healthcare documentation.