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Related Concept Videos

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

824
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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  11. Comparing Provider And Chatgpt Responses To Breast Reconstruction Patient Questions In The Electronic Health Record.
  1. Home
  3. Research Domains
  5. Engineering
  7. Communications Engineering
  9. Data Communications
  11. Comparing Provider And Chatgpt Responses To Breast Reconstruction Patient Questions In The Electronic Health Record.

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Comparing Provider and ChatGPT Responses to Breast Reconstruction Patient Questions in the Electronic Health Record.

Daniel Soroudi1, Aileen Gozali1, Jacquelyn A Knox2

  • 1From the University of California San Francisco, School of Medicine, San Francisco, CA.

Annals of Plastic Surgery
|October 24, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

ChatGPT demonstrates high accuracy and empathy in answering breast reconstruction questions, though its readability needs improvement for effective patient communication in plastic surgery.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Plastic Surgery Communication

Background:

  • Electronic Health Record (EHR) messaging aids patient-physician interaction but increases physician workload.
  • Clear electronic patient communication is crucial across medical fields, including plastic surgery.
  • Innovative tools like ChatGPT offer potential solutions for enhancing patient communication.

Purpose of the Study:

  • To evaluate ChatGPT's effectiveness in responding to breast reconstruction queries.
  • To compare ChatGPT's accuracy, empathy, and readability against responses from healthcare providers.
  • To assess the utility of ChatGPT as a communication adjunct in plastic surgery.

Main Methods:

  • Ten breast reconstruction questions from patient messages were used.
  • Responses were generated by ChatGPT (versions 3 and 4) and human providers (plastic surgeons, advanced practice providers).
  • Accuracy and empathy were scored using Likert scales; readability was assessed with Flesch Reading Ease; statistical comparisons were made using t tests.

    • Main Results:

    • ChatGPT responses showed higher empathy scores than provider responses (2.9 vs 2.0, P < 0.001).
    • No significant difference in accuracy was found between ChatGPT and providers (4.5 vs 4.3, P = 0.170).
    • Provider responses had significantly better readability (Flesch Reading Ease 53.3) compared to ChatGPT (36.0, P < 0.001).

    Conclusions:

    • ChatGPT shows significant potential as a tool to improve patient communication in plastic surgery, particularly in terms of empathy and accuracy.
    • Readability of ChatGPT responses requires further optimization for effective patient understanding.
    • The study highlights the need to balance AI capabilities with human clinical judgment in patient communication.