Leveraging Generative Artificial Intelligence Models in Patient Education on Inferior Vena Cava Filters.

Background: Inferior Vena Cava (IVC) filters have become an advantageous treatment modality for patients with venous thromboembolism. As the use of these filters continues to grow, it is imperative for providers to appropriately educate patients in a comprehensive yet understandable manner. Likewise, generative artificial intelligence models are a growing tool in patient education, but there is little understanding of the readability of these tools on IVC filters. Methods: This study aimed to determine the Flesch Reading Ease (FRE), Flesch-Kincaid, and Gunning Fog readability of IVC Filter patient educational materials generated by these artificial intelligence models. Results: The ChatGPT cohort had the highest mean Gunning Fog score at 17.76 ± 1.62 and the lowest at 11.58 ± 1.55 among the Copilot cohort. The difference between groups for Flesch Reading Ease scores (p = 8.70408 × 10-8) was found to be statistically significant albeit with priori power found to be low at 0.392. Conclusions: The results of this study indicate that the answers generated by the Microsoft Copilot cohort offers a greater degree of readability compared to ChatGPT cohort regarding IVC filters. Nevertheless, the mean Flesch-Kincaid readability for both cohorts does not meet the recommended U.S. grade reading levels.

An Interprofessional Approach to Advance Care Planning.

CONTEXT: Advance care planning (ACP) can improve patients' outcomes at end of life, and interprofessional collaboration has been recommended to facilitate ACP. However, role confusion in ACP facilitation among team members from different disciplines exists, and health professional disciplines' expectations for interprofessional collaboration in ACP are unclear. OBJECTIVE: To review expectations of major health professional organizations for ACP competencies, in order to identify gaps and opportunities for promoting interprofessional collaboration in ACP facilitation. METHODS: Guidelines and recommendations for ACP across disciplines including chaplaincy, medicine, nursing, psychology, and social work were identified and analyzed using content analysis. Main themes were then reviewed against national consensus statements on 4 ACP outcomes (process outcomes, action outcomes, quality of care outcomes, and healthcare outcomes) and mapped into existing domains for interprofessional education competency: values/ethics, roles/responsibilities, interprofessional communication, and teams and teamwork. RESULTS: Three major content themes were identified: professional commitment to advocating for patients' values and self-determination, professional responsibility to facilitate ACP, and specific tasks in ACP. These themes addressed mostly process and action outcomes of ACP but not quality of care outcomes or healthcare outcomes. Few disciplines included interprofessional collaboration as part of ACP competency. CONCLUSION: There is a need for standardized competency guidelines for interprofessional collaboration in ACP as an important first step in reducing confusion among roles and other challenges in facilitating ACP. Further efforts in practice, research, and policy are needed to facilitate interprofessional ACP, achieve competencies, and improve patients' outcomes.