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Related Concept Videos

Barriers to Effective Communication II01:21

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The barriers to effective communication also include cultural barriers, semantic barriers, gender barriers, and time constraints.
Cultural barriers:
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Updated: Sep 17, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Improving Physician Communication Effectiveness Using Tailored LLM Prompts.

Onofrio Cappucci1, Clara De Gennaro1, Maura Pugliatti2,3

  • 1Fondazione Casa Sollievo della Sofferenza Research Hospital.

Studies in Health Technology and Informatics
|July 1, 2025
PubMed
Summary
This summary is machine-generated.

We developed the COSTAR method to create effective prompts for large language models (LLMs). This tool enhances communication between neurologists and persons with multiple sclerosis (pwMS).

Keywords:
Large Language ModelsMultiple Sclerosis

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Area of Science:

  • Neurology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Effective communication is crucial in managing multiple sclerosis (MS).
  • Neurologists require efficient tools to support patient dialogue.
  • Large language models (LLMs) offer potential for clinical support.

Purpose of the Study:

  • To present the COSTAR method for designing LLM prompts.
  • To enhance dialogue between neurologists and persons with multiple sclerosis (pwMS).

Main Methods:

  • Application of the COSTAR method.
  • Development of specific LLM prompts for neurological dialogue.

Main Results:

  • The COSTAR method facilitates the creation of effective LLM prompts.
  • Demonstrated utility in supporting neurologist-patient communication.

Conclusions:

  • COSTAR is a valuable tool for prompt engineering in medical AI.
  • LLM-prompt design can improve clinical interactions for MS care.