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Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
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Published on: February 6, 2020

Pilot Study: ChatGPT-enabled Task Sharing and Team Building Improve Workflow in Lymphedema Care.

Makoto Mihara1, Hisako Hara1,2, Yohei Iwanaga1

  • 1From the Lymphedema Clinic Tokyo, Tokyo, Japan.

Plastic and Reconstructive Surgery. Global Open
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

Large language models like ChatGPT improve efficiency and communication in lymphedema clinics. Safe implementation requires human oversight and privacy safeguards for optimal team-based care.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Lymphedema Management

Background:

  • Lymphedema care necessitates multidisciplinary collaboration, extensive documentation, and interfacility communication.
  • Large language models (LLMs) offer potential to streamline these processes and support team-based care.
  • Concerns regarding LLM accuracy, privacy, and governance persist in clinical settings.

Purpose of the Study:

  • To evaluate the impact of ChatGPT implementation on efficiency, communication, and staff experience in a lymphedema specialty clinic.
  • To identify primary uses, perceived benefits, and challenges associated with using ChatGPT in lymphedema care.

Main Methods:

  • A cross-sectional, anonymous survey was administered to all 12 staff members at a lymphedema specialty clinic in Tokyo.
  • The survey, conducted 24 months post-ChatGPT implementation, used 5-point Likert scales and multiple-choice questions, adhering to STROBE guidelines.
  • Descriptive statistics were used to summarize staff responses regarding ChatGPT usage and impact.

Main Results:

  • All staff reported using ChatGPT, with 58.3% reporting frequent use. Efficiency improved for 83.3% of staff.
  • ChatGPT significantly enhanced external communication (mean Likert 4.42/5), reduced preparation time for materials, and decreased perceived work-related stress.
  • Primary uses included drafting documents/emails (~92%) and referral reports (~83%). Staff noted moderate trust, occasional inaccuracies, and privacy concerns, highlighting the need for training.

Conclusions:

  • ChatGPT implementation enhanced efficiency, communication, and teamwork in a lymphedema clinic, while reducing staff stress.
  • Safe and effective integration of LLMs requires human oversight, verification processes, and robust privacy safeguards.
  • Under appropriate governance, LLMs can facilitate task sharing, support clinical education, and potentially improve lymphedema patient care.