ABSTRACT Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenAI) into precepting. This paper serves as a practical “how‐to” resource, offering actionable strategies and examples to help preceptors implement GenAI into clinical education. Based on examples from multiple institutions and the best available literature in pharmacy practice and education, we outline step‐by‐step approaches for designing learning activities, adapting assessment methods, and modeling effective artificial intelligence (AI) use, with a focus on optimizing learner engagement, personalizing instruction, cultivating critical thinking, and building AI literacy. Implementation guidance includes creating transparent AI use policies, safeguarding confidentiality, preventing deskilling, and embedding GenAI into feedback and evaluation processes. By incorporating these recommendations, preceptors can augment experiential education into a setting where learners can explore GenAI applications and build the judgment required to use AI responsibly in pharmacy practice.
Intensive Care Unit Sedation Practices at a Large, Tertiary Academic Center
Background Sedatives are frequently administered in an ICU and are often dependent on patient population and ICU type. These differences may affect patient-centered outcomes. Objective Our primary objective was to identify differences in sedation practice among three different ICU types at an academic medical center. Methods This was a retrospective cross-sectional study of adult patients (≥18 years) requiring a continuous sedative for ≥6 h and admitted to a medical ICU, surgical ICU, and medical/surgical ICU at a single academic medical center in Rochester Minnesota from June 1, 2018 to May 31, 2020. We extracted baseline characteristics; sedative type, dose, and duration; concomitant therapies; and patient outcomes. Summary statistics are presented. Results A total of 2154 patients met our study criteria (1010 from medical ICU, 539 from surgical ICU, 605 from medical/surgical ICU). Propofol was the most frequently used sedative in all ICU settings (74.1% in medical ICU, 53.8% in surgical ICU, 68.9% in medical/surgical ICU, and 67.5% in all ICUs). The mortality rate was highest in the medical/surgical ICU (40.2% in medical ICU, 26.0% in surgical ICU, 40.7% in medical/surgical ICU, and 36.8% in all ICUs). 90.7% of all patients required mechanical ventilation (92.9% in medical ICU, 88.5% in surgical ICU, and 89.1% in medical/surgical ICU). Overall, patients spent more time in light sedation than deep sedation, 75% versus 10.3%, during their ICU admission. Patients in the medical ICU spent a greater proportion of time positive for delirium than the other ICU settings (35.7% in medical ICU, 9.8% in surgical ICU, and 20% in medical/surgical ICU). Similar amounts of opioids (morphine milligram equivalents) were used during the continuous sedative infusion between the three settings. Conclusions We observed that patients in the medical ICU spent more time deeply sedated with multiple agents which was associated with a higher proportion of delirium.