在癌症沟通中患者更青睐ChatGPT而非医生的回应

Introduction Large language models like ChatGPT (GPT) are increasingly utilized by patients and physicians yet it is unknown whether either group prefers the output of GPT compared to physician-authored content. This study evaluated how patients and physicians perceive and compare ChatGPT-generated versus physician-authored recommendations. Methods We surveyed 51 adult female breast cancer patients and 15 physicians at the University of New Mexico Comprehensive Cancer Center to compare their evaluations of GPT versus physician-authored responses to four cancer scenarios related to treatment, family dynamics and employment. Each scenario included two blinded, responses to the same question-one from GPT and one from a physician. Participants rated each on 7-point Likert scales for helpfulness, empathy, and informativeness and indicated their preferred response (1 = strongly agree, 7 = strongly disagree). The primary outcome was the proportion preferring GPT (binomial test vs 50%); secondary outcomes were within-subject Likert differences (Δ = GPT - physician) analyzed with Wilcoxon signed-rank tests. Results Among 66 participants (51 patients; 15 physicians), patients preferred GPT 71/104 (68.3%, p = 0.00025), while physicians preferred GPT 31/52 (59.6%, p = 0.21), with no significant difference between groups (p = 0.82). Preferences varied by scenario: patients showed no significant differences in S1 or S2 (52.6% and 58.6% preferring GPT; both p > 0.45), strongly favored GPT in S3 (85.7%, p = 0.00018), and significantly favored GPT in S4 (71.4%, p = 0.036). Physician preference for GPT was near equipoise for all scenarios (36.4-75.0%, all p ≥ 0.15). Patient ratings favored GPT for helpfulness (Δ = −0.36, p = 0.009), empathy (Δ = −0.46, p = 0.009), and informativeness (Δ = −0.42, p = 0.013). Physician ratings showed no significant differences for helpfulness (Δ = −0.10, p = 0.59) or informativeness (Δ = +0.18, p = 0.57), with a trend toward higher empathy for GPT (Δ = −0.44, p = 0.058). Conclusion Patients showed a strong overall preference for GPT-generated recommendations, with scenario-specific differences. Physicians demonstrated a smaller, nonsignificant preference for GPT. While ratings were numerically close for all domains, patients consistently judged GPT responses as more helpful, empathetic, and informative, whereas physicians rated the two sources similarly. These findings suggest that physicians could combine GPT-generated responses preferred by patients with their own recommendations to improve clinical communication.