A Policy Recommendation to Resolve E-Health Care Issues Through Non-Functional Requirements

Authors

  • Areeba Akbar Department of Computer Science, Lahore Garrison University, Lahore, 67000, Pakistan
  • Sana Sarwar Department of Computer Science, Lahore Garrison University, Lahore, 67000, Pakistan
  • Muhammad Umair Ahmad Department of Computer Science, University of Management & Technology, Lahore, Pakistan

DOI:

https://doi.org/10.56979/101/2020/41

Keywords:

E-Health, Data Security, Demographics, SPSS, Non-Functional Requirements

Abstract

Electronic Health is basically focused on computer-based techniques or applications for the interaction of patients and doctors through a single electronic environment. The E-Health care system’s development is facing major challenges such as time and cost, language barrier, cultural and norms differences, a difference of states, communication gap, coordination problems, lack of medical project guidance, lack of experienced software testers for health systems, user’s dissatisfaction, poor top project management and so on. These challenges have a major impact on a system’s quality in E-Health and decrease the acceptability among its users. In recent years, some strategies had been applied to reduce quality-related issues that exist in E-Health, however, there is still a need to develop effective and efficient methods, techniques and best practices that can lead to enhance the quality of health software development. The main objective of this study is to highlight existing issues of E-Health and to provide the policy recommendations to mitigate them. Therefore, a quantitative analysis has been performed on collected data to configure the issues of E-Health care system development that directly or indirectly affects the quality of system and services. A detailed study of literature is conducted to test the current proposed framework of E-Health system for security and privacy and to compete for these challenges. It also provides detailed statistical analysis on data by analyzing and applying the demographic profile, frequencies, descriptive studies, reliability test (achieving significance (0.796 > 0.70)), nonparametric test (rejected the null hypothesis with less than 0.5 significance) and one sample T-test (with 2-tailed significance difference 0.00) through SPSS. Hence, this work contributes to making strong policy recommendations to E-Health care system development issues. These policy recommendations explain how E-Health systems should be handled by selecting best process, and how to achieve maximum quality of system product for patients to satisfy them, improve the acceptance among its users, bring their trust back to gain more business and overall development in (medical related IT and software) industry.

Published

2020-09-15

How to Cite

Areeba Akbar, Sana Sarwar, & Ahmad, M. U. (2020). A Policy Recommendation to Resolve E-Health Care Issues Through Non-Functional Requirements . Journal of Computing & Biomedical Informatics, 1(01), 31–48. https://doi.org/10.56979/101/2020/41