Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients - Scorecard - MDSpire

Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients

  • By

  • Siyin Guo

  • Ruicen Li

  • Genpeng Li

  • Wenjie Chen

  • Jing Huang

  • Linye He

  • Yu Ma

  • Liying Wang

  • Hongping Zheng

  • Chunxiang Tian

  • Yatong Zhao

  • Xinmin Pan

  • Hongxing Wan

  • Dasheng Liu

  • Zhihui Li

  • Jianyong Lei

  • April 10, 2024

  • 0 min

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Clinical Scorecard: Evaluating Responses to Thyroid-Related Inquiries: A Comparison Between ChatGPT and Surgeons

At a Glance

CategoryDetail
ConditionCommon thyroid-related disorders including hypothyroidism, Hashimoto thyroiditis, benign and malignant thyroid nodules
Key MechanismsAssessment of response accuracy, comprehensiveness, compassion, and satisfaction to thyroid-related patient questions
Target PopulationPatients with common thyroid diseases requiring diagnosis, treatment, and follow-up
Care SettingOutpatient and surgical thyroid care settings with patient-surgeon communication

Key Highlights

  • ChatGPT (GPT-4.0) provided faster and more comprehensive responses to common thyroid questions than junior and senior thyroid specialists.
  • ChatGPT scored higher in accuracy, comprehensiveness, compassion, and patient/surgeon satisfaction compared to human specialists.
  • Further research is needed to validate ChatGPT's logical reasoning ability for complex thyroid-related clinical questions.

Guideline-Based Recommendations

Diagnosis

  • Use AI tools like ChatGPT to supplement patient education and answer common thyroid-related questions accurately and compassionately.

Management

  • Incorporate AI-generated responses to improve patient understanding and reduce psychological burden during thyroid disease management.

Monitoring & Follow-up

  • Evaluate AI responses continuously for accuracy and appropriateness, especially for complex or individualized thyroid cases.

Risks

  • Be cautious of AI limitations in recognizing incorrect or misleading clinical information; human oversight remains essential.

Patient & Prescribing Data

Patients with common thyroid disorders seeking information during diagnosis, treatment, and follow-up

AI can provide timely, detailed, and compassionate answers, potentially enhancing patient satisfaction and disease management.

Clinical Best Practices

  • Utilize AI tools to address common patient questions efficiently, supplementing but not replacing specialist consultation.
  • Maintain human oversight to verify AI responses, especially for complex thyroid conditions or treatment decisions.
  • Engage patients with interactive, accurate, and compassionate communication to improve understanding and reduce anxiety.

References

Original Source(s)

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