AI-generated from publicly available materials.Recent discussions highlight the need for caution in employing AI for translating prescription labels, emphasizing that language access should prioritize patient safety over mere compliance.
Health systems are increasingly adopting generative AI for various applications, yet the translation of prescription labels remains a critical area requiring careful consideration. Sharon Blank, CEO of RxTran, points out that the main challenge is not the technology itself but the perception of language access as merely a compliance issue rather than a vital aspect of patient safety. She argues that current practices often leave patients without reliable medication instructions once they leave the pharmacy, as translated materials are not consistently integrated into pharmacy workflows.
Blank asserts that the integration of validated translations into pharmacy management systems is now the primary hurdle, rather than the capabilities of AI. While generative AI can assist in drafting and summarizing, it cannot ensure the clinical accuracy of translated medication instructions. Therefore, she advocates for a model that includes human verification by qualified pharmacists or medical linguists, making this oversight a permanent fixture in the process of translating prescriptions.
Moreover, Blank emphasizes the significant consequences of translation errors, particularly for patients with limited English proficiency. She notes that organizations that implement validated multilingual labeling experience improved patient comprehension and adherence to medication instructions. As regulations around language access expand, she urges health organizations to proactively address these challenges to enhance patient safety and trust, thereby avoiding potential legal and operational risks in the future.