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Journal of Medical and Biological Engineering

, Volume 39, Issue 1, pp 163–169 | Cite as

RFID Medical Equipment Tracking System Based on a Location-Based Service Technique

  • Meng-Hsiun Tsai
  • Chiu-Shu Pan
  • Chi-Wei Wang
  • Jui-Ming ChenEmail author
  • Cheng-Bang Kuo
Original Article
  • 35 Downloads

Abstract

Introduction

Healthcare is the fastest-growing service sector. Given the critical impact this industry has on human well-being, there is a continuing need to improve the quality of medical services. An RFID system is used to implement an indoor positioning system which tracks medical equipment in medical centers or other healthcare facilities.

Objectives

Develop a front-end platform application system for medical personnel uses.

Methods

In RFID systems, data collected by and stored in remotely distributed tags are transmitted to readers, providing identification or positioning functions through non-contract bi-directional communication.

Results

The front-end platform application system for medical personnel uses was developed using Microsoft Visual Studio 2012, the Windows Presentation Foundation (WPF) is developed in C#, and the interface is developed using XAML. This effectively separates interface development and its background logic, allowing UI designers and app developers to better cooperate and reduce maintenance and updating costs. SQLite is used for database development to ensure cross-platform and multiple language support. XAMPP is used for the Web Server.

Conclusion

PEPD RFID provides medical staff with location and inventory information for medical devices and materials, helping staff to find such items quickly and accurately and thus enhancing patient care and hospital service quality. The proposed system allows medical staff to immediately locate and inventory specific medical equipment, thus improving work performance, service quality and inventory control.

Keywords

Healthcare information technology Radio frequency identification Positioning Location-based system 

Notes

Acknowledgements

The authors would like to thank the reviewers for their valuable suggestions and comments that are helpful to improve the content and quality for this paper. This paper is supported by the National Science Council of Taiwan, ROC, under the Contract of NSC 102-2622-E-005-015-CC3 and MOST 105-2622-E-005-002-CC3.

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Copyright information

© Taiwanese Society of Biomedical Engineering 2018

Authors and Affiliations

  • Meng-Hsiun Tsai
    • 4
    • 5
  • Chiu-Shu Pan
    • 3
  • Chi-Wei Wang
    • 3
  • Jui-Ming Chen
    • 1
    • 2
    Email author
  • Cheng-Bang Kuo
    • 6
  1. 1.Department of Endocrinology and MetabolismTungs’ Taichung MetroHarbor HospitalTaichungTaiwan, ROC
  2. 2.Department of Information ManagementChung Chou University of Science and TechnologyChanghuaTaiwan, ROC
  3. 3.Department of Computer Science and Information EngineeringAsia UniversityTaichungTaiwan, ROC
  4. 4.Department of Management Information SystemsNational Chung Hsing UniversityTaichungTaiwan, ROC
  5. 5.Department of Institute of Genomics and BioinformaticsNational Chung Hsing UniversityTaichungTaiwan, ROC
  6. 6.Department of Internal MedicineTaichung Armed Forces General HospitalTaichungTaiwan, ROC

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