ArticleDigital health
Association between AI-driven conversational agents and physician-patient interaction quality during outpatient consultations: A propensity score matching study in China.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
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Abstract
Objectives: This study aimed to use a propensity score matching (PSM) design to examine the association between artificial intelligence (AI)-driven conversational agents (CAs) and physician-patient interaction quality during outpatient consultations. Methods: We used the Chinese version of the Consultation and Relational Empathy Measure to survey the patients' perceived quality of physician-patient interactions during outpatient consultations, involving 419 adult residents who received outpatient services from China's tertiary public hospitals. Propensity score matching was first conducted to organize the sampled population into the treated and control groups based on the demographic and visit covariates, and the average treatment effect on the treated (ATT) was further calculated to estimate the causal association between the AI-driven CAs and physician-patient interaction quality. Results: Overall, the PSM results showed a positive causal association of the AI-driven CAs with the physician-patient interaction quality. Specifically, the ATT estimate results showed that the treated residents gave significantly higher scores than the control residents in the total perceived physician-patient interaction quality score (ATT=2.987, Z=2.92, Conclusions: Our findings will help to confirm the association between the AI-driven CAs and physician-patient interaction quality, and also offer valuable guidance for policy makers and hospital managers in promoting the adoption of the AI-driven CAs to continuously improve the physician-patient interaction quality during outpatient consultations.
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