Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients
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By
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Siyin Guo
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Ruicen Li
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Genpeng Li
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Wenjie Chen
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Jing Huang
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Linye He
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Yu Ma
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Liying Wang
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Hongping Zheng
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Chunxiang Tian
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Yatong Zhao
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Xinmin Pan
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Hongxing Wan
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Dasheng Liu
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Zhihui Li
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Jianyong Lei
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April 10, 2024
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Clinical Scorecard: Evaluating Responses to Thyroid-Related Inquiries: A Comparison Between ChatGPT and Surgeons
At a Glance
| Category | Detail |
| Condition | Common thyroid-related disorders including hypothyroidism, Hashimoto thyroiditis, benign and malignant thyroid nodules |
| Key Mechanisms | Assessment of response accuracy, comprehensiveness, compassion, and satisfaction to thyroid-related patient questions |
| Target Population | Patients with common thyroid diseases requiring diagnosis, treatment, and follow-up |
| Care Setting | Outpatient 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