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Execution was led by 2 mapping team members (Y-L AC and AL), both research pharmacists with extensive experience in clinical applications and practice. The team also included 2 clinical map advisors (CH and KB): an emergency physician and health services researcher specializing in drug safety and health IT, and a clinical pharmacist with extensive research and clinical practice experience in this area.
JMIR Med Inform 2025;13:e70167
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In total, there were 8 groups of mixed participants which included children and young people (n=9; age range 5‐26 y; mean age 13.3, SD 6.3 y) and parents (n=13). Each group consisted of 2‐5 participants.
Participants felt that the chatbot needs to evolve with them. For instance, families felt that simple language should be used at the beginning of diagnosis. However, explanations should become more advanced in the subsequent years as families become more familiar and do not want to feel patronized.
JMIR Pediatr Parent 2025;8:e70409
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Each subplot represents a specific feature, with Chat GPT-4 values on the x-axis and IDL values on the y-axis. Linear regression lines with shaded 95% CIs are shown to illustrate the strength and direction of the associations. Pearson correlation coefficients (r) and P values (P) are reported for each feature.
JMIR AI 2025;4:e68144
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