Determinants of Satisfaction in the Usage of Healthcare Information Systems by Hospital Workers in Hyderabad, India: Neural Network and SEM Approach


Surya Neeragatti, Ranjit Kumar Dehury

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This study focuses on the adoption of Healthcare Information System (HIS) in India’s healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers’ satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers’ satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.


Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. Healthcare Information System (HIS)
2.2. Unified Theory of Acceptance and Use of Technology (UTAUT)
2.3. Artificial Neural Networking (ANN)
Ⅲ. Research Model and Hypothesis Formation
Ⅳ. Materials and Methods
4.1. Study Design and Data Collection
4.2. Survey and Instrument Design
4.3. Statistical Analysis
4.4. The ANN Sensitivity Analysis and Architecture
Ⅴ. Results
5.1. Measurement Model Analysis
5.2. Structural Model Analysis
5.3. Hypothesis Testing
5.4. Sensitivity Analysis of Demographical Data
Ⅵ. Discussion and Implications
6.1. Findings and Discussion
6.2. Implications
6.3. Limitations and Future Research Directions
Ⅶ. Conclusion


  • Surya Neeragatti Ph.D., University of Hyderabad, Hyderabad, India
  • Ranjit Kumar Dehury Assistant Professor, University of Hyderabad, Hyderabad, India


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