Research Article Open Access

A Questionnaire Approach Based on the Technology Acceptance Model for Mobile Tracking on Patient Progress Applications

Hussain Mohammad Abu-Dalbouh1
  • 1 Al-Qassim University, Saudi Arabia

Abstract

Healthcare professionals spend much of their time wandering between patients and offices, while the supportive technology stays stationary. Therefore, mobile applications has adapted for healthcare industry. In spite of the advancement and variety of available mobile based applications, there is an eminent need to investigate the current position of the acceptance of those mobile health applications that are tailored towards the tracking patients condition, share patients information and access. Consequently, in this study Technology Acceptance Model has designed to investigate the user acceptance of mobile technology application within healthcare industry. The purpose of this study is to design a quantitative approach based on the technology acceptance model questionnaire as its primary research methodology. It utilized a quantitative approach based a Technology Acceptance Model (TAM) to evaluate the system mobile tracking Model. The related constructs for evaluation are: Perceived of Usefulness, Perceived Ease of Use, User Satisfaction and Attribute of Usability. All these constructs are modified to suit the context of the study. Moreover, this study outlines the details of each construct and its relevance toward the research issue. The outcome of the study represents series of approaches that will apply for checking the suitability of a mobile tracking on patient progress application for health care industry and how well it achieves the aims and objectives of the design.

Journal of Computer Science
Volume 9 No. 6, 2013, 763-770

DOI: https://doi.org/10.3844/jcssp.2013.763.770

Submitted On: 21 February 2013 Published On: 6 June 2013

How to Cite: Abu-Dalbouh, H. M. (2013). A Questionnaire Approach Based on the Technology Acceptance Model for Mobile Tracking on Patient Progress Applications. Journal of Computer Science, 9(6), 763-770. https://doi.org/10.3844/jcssp.2013.763.770

  • 6,431 Views
  • 22,984 Downloads
  • 55 Citations

Download

Keywords

  • Mobile Technology
  • Patient
  • Methodology
  • TAM
  • Tracking