The development and impact of an app for a smart drug interaction reminder system

Abstract

BACKGROUND: Improved access to media and medical knowledge has elicited stronger public health awareness. OBJECTIVE: This study developed a smart drug interaction reminder system for patients to increase knowledge and reduce nurse workload. METHODS: This study used a single-group pre-test/post-test design and applied mining techniques to analyze the weight and probability of interaction among various medicines. Data were collected from 258 participants at a teaching hospital in northern Taiwan using convenience sampling. An app was used to give patients real-time feedback to obtain access to information and remind them of their health issues. In addition to guiding the patients on medications, this app measured the nurses’ work satisfaction and patients’ knowledge of drug interaction. RESULTS: The results indicate that using information technology products to assist the app’s real-time feedback system promoted nurses’ work satisfaction, improved their health education skills, and helped patients to better understand drug interactions. CONCLUSION: Using information technology to provide patients with real-time inquiring functions has a significant effect on nurses’ load reduction. Thus, smart drug interaction reminder system apps can be considered suitable nursing health education tools and the SDINRS app can be integrated into quantitative structure-activity relationship intelligence in the future.