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. 2024 Oct 16;7(10):e2438535. doi: 10.1001/jamanetworkopen.2024.38535

Table. Satisfaction of AI and Clinician Responses and Association With the Length of Responses.

Division AIa Clinicians
Assessments, No. Satisfaction estimate (SE)b No. of characters, mean (SD) Satisfaction and the length of response Assessments, No. Satisfaction estimate (SE)b No. of characters, mean (SD) Satisfaction and the length of response
Standardized βc P value Standardized βc P value
Overall 213 3.96 (0.09) 1470.77 (391.83) 0.10 .16 195 3.05 (0.09) 254.37 (198.85) 0.23 .002
Cardiovascular 78 4.09 (0.14) 1559.04 (424.83) 0.068 .58 75 3.25 (0.14) 306.36 (221.09) 0.29 .02
Internal medicine 87 3.82 (0.13) 1314.72 (347.11) 0.037 .72 78 2.94 (0.14) 146.31 (109.43) 0.0056 .96
Endocrinology 48 4.00 (0.19) 1610.19 (330.87) 0.25 .08 42 2.90 (0.20) 362.21 (200.79) 0.31 .09

Abbreviations: AI, artificial intelligence.

a

Responses from Stanford GPT with prompts were assessed for satisfaction as it was graded as the best response in terms of information quality and empathy.

b

Satisfaction assessed on a 5-point scale, with 1 being the lowest and 5 the highest. P-values for the satisfactory estimate difference between AI vs clinicians were all P < .001 (overall, cardiovascular division, internal medicine division, and endocrinology division). The missing values were handled by missingness at random in the statistical model (mixed effect model).

c

To avoid too small β coefficients, we computed standardized β coefficients to present the strength of the effect of the length of response on the satisfaction estimate. The standardized β coefficient measures the changes in standard deviations (SD) of satisfaction estimates when 1 SD increases in the length of response. We adjusted it for age, sex, race, and ethnicity.