Electronic health record (EHR) implementation not only to facilitate doctor-patient communication reduces paper consumption but also allows the rapid exchange of medical records, integrating patients’ medical information from different locations. However, the costs of establishing massive and repetitive systems, constructing databases, and maintaining and exchanging data, as well as the energy consumption underscoring such an operation, represent substantial costs for a medical institution. Therefore, it is important to develop a cloud solution for EHRs and to provide a platform where resources are truly shareable. This study investigates the feasibility of cloud EHR services provided by trusted third parties. However, not only do medical records stored in an access environment with multiple users potentially endanger patient privacy, but also, without well-designed access control, such an environment may beget excessive unnecessary data access, which is costly and hinders cloud computing. To address the dual challenge of protecting patient privacy and allowing cloud computing, this study proposes the doctor–patient workflow and implements a web-based system. This mechanism ensures patients’ data security and addresses the demand of EHR cloud sharing, i.e., controlling EHR access authorities. The proposed method can protect the privacy of patients’ medical records on the cloud and grant users with minimum granularity access, thereby creating a system with the advantages of data security and cloud computing. This study proposes the doctor–patient workflow as the access control mechanism of cloud medical records, which minimizes the granularity of access. In addition, the access authority of the workflow dynamically changes with the environment, which ensures patients’ access to their medical records and defines the appropriate timing of cloud data access operations, thereby preventing unnecessary energy consumption. In practice, considerable contributions can be made to the establishment of access control and promotion of the cloud environment for medical records.
20 March 2023 in Journal of Advanced Computational Intelligence and Intelligent Informatics
Title: Design and Implementation of a Recommendation System for Buying Fresh Foods Online Based on Web Crawling | Keywords: fresh food, recommendation systems, text segmentation, term frequency, digital transformation | Author: Tsung-Yin Ou, Yi-Chen Lee, Tien-Hsiang Chang, Shih-Hsiung Lee, and Wen-Lung Tsai
This study explores how a 3D interactive field simulation system can enhance users' efficiency in understanding the equipment conditions in sunlight center areas. A growing number of users in sunlight centers play an indispensable role as crucial institutions for improving the quality of life for older people. We have observed that all existing sunlight centers lack an online simulation navigation system, requiring users to visit the site physically. The issues arising from the necessity of on-site visits are the focus of investigation and improvement in this study.
In the face of fierce competition in the retail market, in addition to existing physical competitors, physical channels have to face the impact of COVID-19 and the challenges of virtual channels. Compared with virtual channels, the main competitive advantage of physical channels lies in product experience and services. First-line salespeople are a critical factor for retailers. In the post-epidemic era of COVID-19, shaping the professionalism of salespeople and improving service satisfaction are essential issues in the current brick-and-mortar retail industry. This study designed and constructed an intelligent shopping guide system based on AIDA marketing principles and further integrated the physical store sales recommendation rule model so that consumers and salespeople can interact with each other through the same carrier (App). Salespeople can recommend appropriate product combinations according to consumers' attributes through the sales recommendation rule model. Based on the interview analysis, the empirical results show that the perceived ease of use and usefulness of the intelligent shopping guide system has a positive effect on the intention of the salespeople of the case company. They can help the salespeople guide the consumers in completing the purchase behavior to improve the company's transaction rate and profit.