Memory-based medication non-adherence is an unsolved problem that is responsible for considerable disease burden in the United States. Digital medication intake reminder solutions with minimal onboarding requirements that are usable at the point of medication acquisition may help to alleviate this problem by offering a low barrier way to help people remember to take their medications. In this paper, we propose memorAIs, a digital medication intake reminder solution that mitigates onboarding friction by leveraging optical character recognition strategies for text extraction from medication bottles and rule based expressions for text processing to create configured medication reminders as local device calendar invitations. We describe our ideation and development process, as well as limitations of the current implementation. memorAIs was the winner of the Patient Safety award at the 2023 Columbia University DivHacks Hackathon, presented by the Patient Safety Technology Challenge, sponsored by the Pittsburgh Regional Health Initiative.

翻译：基于记忆的药物不依从性是一个尚未解决的难题，在美国造成了巨大的疾病负担。具有最低使用门槛、可在药物获取时直接使用的数字化服药提醒解决方案，通过提供低障碍途径帮助人们记住服药，可能有助于缓解这一问题。本文提出memorAIs——一种数字服药提醒解决方案，通过利用光学字符识别策略提取药瓶文字信息，并采用基于规则的表达式进行文本处理，将生成的药物提醒配置为本地设备日历邀请，从而降低使用门槛。我们描述了构思与开发过程，并讨论了当前实现的局限性。该方案在匹兹堡地区健康倡议赞助的2023年哥伦比亚大学DivHacks黑客马拉松"患者安全技术挑战赛"中荣获患者安全奖。