Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks
DOI:
https://doi.org/10.18034/mjmbr.v6i2.661Keywords:
Hospital Information System, Tasks Suitability, Usability, ISO 9241/10, Evaluation StudiesAbstract
In the context of hospital information systems (HIS), "suitability for the task" refers to several factors, including not imposing additional tasks on users, executing everyday activities in their entirety, and displaying all relevant information on the screen. In this descriptive cross-sectional study, a multi-stage sampling strategy was utilized to select hospitals to participate in the study. In other words, the first thing done was to locate hospitals with companies that supplied them with health information systems. Then, one hospital was selected among those that were provided funding by each of the companies. The ISO Metric Standard Questionnaire 9241 was utilized for this investigation. The evaluation of HIS aptitude for the job will be based on his responses to these 15 questions in the questionnaire. The data were examined by employing descriptive tests and the software SPSS. According to the investigation results, the average number of HIS characteristics suitable for the undertaking was 3.04 out of 5. This feature has an average rating of 2.96 out of 5 stars from paraclinical users. The scores of 3.03 and 3.13 given by secretaries and nurses, respectively, are presented here. Items that received bad ratings, such as the imposition of tasks that were not within the user's obligations, highlight the fact that the majority of users consider that such systems are not following their responsibilities, despite all of the claims that have been made regarding the benefits of computer information systems in the field of medicine. In other words, these kinds of systems have not only failed to simplify the regular duties of their users, but they have also resulted in the users having to execute those actions multiple times. The users initially write the data down on paper before entering it into the digital information systems. As a result, those responsible for developing computerized information systems used in healthcare should emphasize the appropriateness of these systems for the job.
Downloads
References
Ash, J. S., Berg, M., Coiera, E. (2004). Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics Association, 11(2), 104-12. DOI: https://doi.org/10.1197/jamia.M1471
Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential? Asian Journal of Applied Science and Engineering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12 DOI: https://doi.org/10.18034/ajase.v8i1.12
Davidson, D. E., Heslinga, D. D. (2006). Bridging the IT adoption gap for small physician practices: An action research study on electronic health records. Information systems management, 24(1), 15-28. DOI: https://doi.org/10.1080/10580530601036786
Gutlapalli, S. S. (2016). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651 DOI: https://doi.org/10.18034/ra.v4i3.651
Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658 DOI: https://doi.org/10.18034/ajhal.v4i2.658
Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77
Hamborg, K. C., Vehse, B., Bludau, H. B. (2004). Questionnaire-based usability evaluation of hospital information systems. Electronic journal of information systems evaluation, 7(1).
Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. Retrieved from https://4ajournal.com/article/view/76
Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650 DOI: https://doi.org/10.18034/abr.v7i3.650
Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650 DOI: https://doi.org/10.18034/ra.v5i3.650
Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657 DOI: https://doi.org/10.18034/gdeb.v7i2.657
Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659 DOI: https://doi.org/10.18034/ajhal.v5i2.659
McWay, D. C. (2008). Today's Health Information Management: An Integrated Approach: Thomson Delmar Learning.
Rogers, E. M. (1995). Diffusion of innovations: Free Pr.
Sallas, B., Lane, S., Mathews, R., Watkins, T., Wiley-Patton, S. (2006). An iterative assessment approach to improve technology adoption and implementation decisions by healthcare managers. Information systems management, 24(1), 43-57 DOI: https://doi.org/10.1080/10580530601036802
Schleyer, T., Spallek, H., Hernández, P. (2007). A qualitative investigation of the content of dental paper-based and computer-based patient record formats. Journal of the American Medical Informatics Association, 14(4), 515. DOI: https://doi.org/10.1197/jamia.M2335
Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. 技术与管理回顾, 1(1), 7–11. http://技术与管理回顾.移动/index.php/tmr/article/view/4
Thyvalikakath, T. P., Monaco, V., Thambuganipalle, H. B., Schleyer, T. (2008). A usability evaluation of four commercial dental computer-based patient record systems. The Journal of the American Dental Association, 139(12), 1632. DOI: https://doi.org/10.14219/jada.archive.2008.0105
Wilson, E. V. (2008). Creating Patient-Centered E-Health. Encyclopedia of healthcare information systems. 2008.1 DOI: https://doi.org/10.4018/978-1-59904-889-5.ch042
Published
Issue
Section
License
Copyright (c) 2019 Sai Srujan Gutlapalli, Mounika Mandapuram, Manjunath Reddy, Anusha Bodepudi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.