MID-based electronic data collection and adaptive drug delivery model for improving quality of PCA services

Abstract

Patient-Controlled Analgesia (PCA) is an important means of self-regulated pain relief service and has been widely used in postoperative pain management. In order to improve the defects and risks of paper-based data collection, we propose a web-based electronic data collection (EDC) system to support PCA services. The successful website design involves a clearly communicated stepwise process that specifies the development of each PCA EDC module. We performed a simple usability evaluation of the EDC system by measuring the data collection time during the visitation. The results demonstrated that web-based EDC system had better efficiency than that of traditional non-web-based EDC system. Through conveying the PCA initial settings and dosage information of the first 48-hour therapy as input variables, we proposed an adaptive drug delivery model to provide precise dosage information to deliver effective analgesia of PCA services. The adaptive drug delivery model can not only explore the relationship of analgesia drug consumption and related factors, but also further provide useful analgesia dosage reference to the anesthesiologists.