Electronic Information Systems and Their Role in Improving the Quality of Services: A Case Study of the 48 Model Hospital

Abstract

​This study aims to identify the role of electronic information systems in improving the quality of healthcare services at 48 Model Hospital in Sana'a (the field of study), and to determine the extent of statistically significant differences among the study sample attributed to informational and personal characteristics.

​To achieve the objectives of the study, the researchers adopted the descriptive approach in both its survey and inferential aspects, utilizing a questionnaire developed as a tool to collect primary data from its sources among all employees (doctors, technicians, administrators, and others) across all facilities and departments of the hospital. The questionnaire was distributed to a sample out of a total population of 250 employees. A simple random sample was tested, yielding 65 respondents among (doctors, administrators, and technicians), representing (38%) of the sample size. The number of questionnaires subject to analysis was (65), accounting for (92%) of the original population size. The study data were analyzed, and its hypotheses were tested by applying several descriptive and inferential statistical analysis tools most appropriate for the nature of the data, using the Statistical Package for the Social Sciences (SPSS). These included descriptive statistics such as frequencies and percentages to describe the characteristics of the study sample, and calculating the arithmetic mean and standard deviation. Finally, T-Test analysis was used to test the hypotheses, along with One-Way ANOVA.

​The study reached a set of results, the most important of which are:

The results of the study indicated complete satisfaction with working conditions, where the arithmetic mean for networks in this dimension was 3.57, leaning towards "Agree". It was found that tangibility, which they receive in return for providing services from reviewers of health facilities and units, according to what was shown by the arithmetic mean value, was 3.84, which is towards "Agree" and equals the hypothetical mean (3). The arithmetic mean value was higher than the hypothetical mean, revealing a positive correlation between healthcare information systems regarding individuals, devices, software, networks, and data, and healthcare services. This is based on the Pearson correlation coefficient values, which were respectively: (0.524, 0.293, 0.665, 0.654, 0.852).

​The study recommended:

1- Paying attention to providing modern software characterized by high connection speed.

2- Conducting training courses in the field of using electronic information systems and increasing support from senior management.

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​3- Encouraging the use of health information systems and advancing the technical and technological level in developing treatment.

4- Conducting further research on electronic information systems and the quality of healthcare services in hospitals