An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design


  • Tian-Hsiang Huang Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan, ROC
  • Wan-Ling Chao Information Management Office, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ROC
  • Kao-Shing Hwang Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC
  • Yao-Mei Chen School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC; Superintendent Office, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC
  • Wen-Hsien Ho Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC; College of Professional Studies, National Pingtung University of Science and Technology, Pingtung, Taiwan, ROC



intelligent retrieval, e-pharmacopeia, responsive web design, technology acceptance model, information systems success model


To develop an e-pharmacopeia retrieval mobile system aimed at assisting medical personnel in efficiently assessing precise drug information and ensuring patient safety, this study utilized responsive web design. The research framework incorporated the convergence of the technology acceptance model (TAM) and the information systems success model (ISSM) to investigate user satisfaction and continuance intention. A survey was administered to 151 pharmacy students who had utilized the system for over 30 minutes. The findings revealed that the TAM-ISSM model significantly influenced user satisfaction, surpassing the individual impacts of TAM and ISSM. Furthermore, user satisfaction exhibited a positive and significant impact on continuance intention, which, in turn, demonstrated a positive and significant influence on both individual and organizational performance. This suggests that the proposed system is proficient in accurately identifying and processing drugs, thereby mitigating the pain induced by diseases in patients.


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How to Cite

Tian-Hsiang Huang, Wan-Ling Chao, Kao-Shing Hwang, Yao-Mei Chen, and Wen-Hsien Ho, “An Intelligent E-Pharmacopoeia Retrieval System Using Responsive Web Design”, Int. j. eng. technol. innov., vol. 14, no. 2, pp. 177–188, Mar. 2024.