Huang Hangxing, Zhang Lu, Yang Yongyu, Huang Ling, Lu Xikui, Li Jingyang, Yu Huimin, Cheng Shuqiao, Xiao Jian
Department of Pharmacy, Xiangya Hospital, Central South University, NO.87, Xiangya Road, Changsha, 410008, Hunan Province, China.
Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
BioData Min. 2024 Jul 15;17(1):23. doi: 10.1186/s13040-024-00376-y.
Patients with chronic conditions need multiple medications daily to manage their condition. However, most patients have poor compliance, which affects the effectiveness of treatment. To address these challenges, we establish a medication reminder system for the intelligent generation of universal medication schedule (UMS) to remind patients with chronic diseases to take medication accurately and to improve safety of home medication.
To design medication time constraint with one drug (MTCOD) for each drug and medication time constraint with multi-drug (MTCMD) for each two drugs in order to better regulate the interval and time of patients' medication. Establishment of a medication reminder system consisting of a cloud database of drug information, an operator terminal for medical staff and a patient terminal.
The cloud database has a total of 153,916 pharmaceutical products, 496,708 drug interaction data, and 153,390 pharmaceutical product-ingredient pairs. The MTCOD data was 153,916, and the MTCMD data was 8,552,712. An intelligent UMS medication reminder system was constructed. The system can read the prescription information of patients and provide personalized medication guidance with medication timeline for chronic patients. At the same time, patients can query medication information and get remote pharmacy guidance in real time.
Overall, the medication reminder system provides intelligent medication reminders, automatic drug interaction identification, and monitoring system, which is helpful to monitor the entire process of treatment in patients with chronic diseases.
慢性病患者每天需要服用多种药物来控制病情。然而，大多数患者的依从性较差，这影响了治疗效果。为应对这些挑战，我们建立了一个药物提醒系统，用于智能生成通用用药时间表（UMS），以提醒慢性病患者准确服药并提高家庭用药安全性。
为每种药物设计单药用药时间约束（MTCOD），为每两种药物设计多药用药时间约束（MTCMD），以便更好地规范患者的用药间隔和时间。建立一个由药物信息云数据库、医务人员操作终端和患者终端组成的药物提醒系统。
云数据库共有153,916种药品、496,708条药物相互作用数据和153,390种药品-成分对。MTCOD数据为153,916条，MTCMD数据为8,552,712条。构建了一个智能UMS药物提醒系统。该系统可以读取患者的处方信息，并为慢性病患者提供带有用药时间线的个性化用药指导。同时，患者可以查询用药信息并实时获得远程药房指导。
总体而言，该药物提醒系统提供智能用药提醒、自动药物相互作用识别和监测系统，有助于监测慢性病患者的整个治疗过程。
