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Cross-sectional study evaluates patient experience with AI assistant in interpreting lab results, suggesting enhanced understanding.
Background and significance Many patients struggle to interpret lab and test results. Objective To evaluate patient experience, usability, and intention to reuse an AI assistant integrated into a patient portal’s test results interface, aimed at enhancing patient comprehension of laboratory and diagnostic findings. Methods A cross-sectional study with 131 adults using a non-production portal instance. Participants accessed their lab results via the embedded AI assistant and completed a post-use survey. Outcomes included System Usability Scale (SUS), reuse intention (5-point Likert), and Net Promoter Score (NPS). Multivariable regression examined associations of outcomes with patient characteristics. Results Mean SUS was 81.0 (SD 16.1). Most participants (76.9%) were very or extremely likely to reuse (mean 4.1/5.0). NPS was 43.9%. Higher reuse intention was significantly associated with more diagnoses [mean difference = 0.017, 95% CI (0.002, 0.032), p = .032]. Conclusions A secure, portal-integrated AI assistant showed strong usability and satisfaction, particularly among patients with greater comorbidity.
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Tai-Seale et al. (2026) studied this question.
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