AI Learning Tools: Generative AI Use in Industry

• Create summaries of medical conversations from recorded audio during patient visits, which helps doctors cut down on the amount of time they spend on notes (Lin, 2023).
• Create so-called synthetic data, or fake versions of patient records that maintain the properties of the original, which will be particularly useful for researching less common diseases, where it is harder to gather sufficient patient data (Lin, 2023).
• Could make clinical trials more efficient by creating “synthetic” control patients (i.e., fake patients) using data from real patients and their underlying attributes (to be compared with the patients who receive the new therapy) (Altman, 2023. p. 6).
• Could optimize clinic scheduling or simplify generation of medical codes for billing, disease surveillance, and automated follow-up reminders (Langlotz, 2023, p. 7).
• When a patient returns home from a clinic visit, a foundation model could generate tailored patient education materials and explain their care plan at the appropriate reading level (Langlotz, 2023, p. 7).
• Use of chatbots for health advice for patients (Clark & Bailey, 2024).
• Use of AI in disease detection (Singh, 2025).

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