earticle

논문검색

A Proposal to Measure Success Factors for Location-Based Mobile Cardiac Telemedicine System (LMCTS)

초록

영어

Cardiac telemedicine systems facilitate treatment of patients by sending blood pressure and cardiac performance information to hospitals and medical emergency care units. Location-based services can be used in mobile cardiac telemedicine systems to improve efficiency, robustness and accuracy. This paper proposes a combination of mobile telemedicine systems and location-based services that will enable hospitals and emergency departments to do continuous monitoring of a patient’s heart activity; such a system would decrease the probability of critical condition patients in emergency cases and increase the chance of saving lives. In order to evaluate whether this kind of health care system might work, we explore the success factors for such a system by adapting the DeLone & McLean IS success model to the context of location-based mobile system in cardiac healthcare. After reviewing previous works, we identify fourteen factors which can affect the success of a location-based mobile cardiac telemedicine system: Realization of user expectations, Portability, Accessibility, Extent of data processing, Time response, Urgency, Currency, Sufficiency, Understandability, Reliability, Extent of Mobility (spatial, temporal, contextual), System support, Responsiveness, and Assurance. We apply these factors to propose a success model for our location-based mobile cardiac telemedicine system.

목차

Abstract
 1. Introduction
 2. Location-based Mobile Cardiac Telemedicine System (LMCTS)
 3. Theoretical Background
 4. Definition of Key Factors in LMCTS
 5. Theoretical Scheme for LMCTS
  5.1. System Quality
  5.2. Information Quality
  5.3. Service Quality
  5.4. Mobile healthcare anxiety
  5.5. Trust
  5.6. Outcome variables
 6. Proposed method
 7. Conclusion
 References

저자정보

  • Pantea keikhosrokiani School of Computer Sciences
  • Nasriah Zakaria School of Computer Sciences
  • Norlia Mustaffa School of Computer Sciences
  • Amin Kianpisheh School of Computer Sciences
  • Pakapan Limtrairut School of Computer Sciences
  • Muhammad Imran Sarwar National Advance IPv6 Centre Universiti Sains Malaysia (USM)

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.