Impact of Health System Usage, Patient Satisfaction, Information Quality, and Service Quality on Hospital Management Information System Utilization at Madani Regional General Hospital

Background: Recruitment in healthcare, particularly in hospitals, often faces challenges in aligning employee competencies with job requirements, leading to operational inefficiencies. The increasing complexity and volume of patient data necessitate efficient information systems for optimal healthcare delivery. Hospital Management Information Systems (HMIS), which integrate workflows and enhance operational efficiency, are crucial for addressing these challenges. However, their effective implementation and utilization depend on various factors, including system usage, user satisfaction, information quality, and service quality. Methods: This study employed a quantitative, cross-sectional design to assess the relationships between human and technology-related factors and the net benefits of the HMIS at Madani Regional General Hospital in Palu, Indonesia. A sample of 172 respondents, determined using the Slovin formula, completed structured questionnaires evaluating system usage, user satisfaction, information quality, service quality, and perceived net benefits. Data were analyzed using univariate, bivariate, and multivariate statistical methods, including Pearson correlation and binary logistic regression. Results: The findings revealed significant positive relationships between system usage, user satisfaction, information quality, and service quality with net benefits (p < 0.05). Specifically, improved system usage, higher user satisfaction, better information quality, and superior service quality were strongly correlated with positive outcomes in HMIS utilization. Binary logistic regression identified system usage as the most influential predictor of net benefits (p = 0.006, Exp(B) = 3.242). The model explained 21.2% of the variance in net benefits and demonstrated an accuracy of 79.7%. Conclusion: The study underscores the critical role of human and technology factors in the effective utilization of HMIS. Enhancing system usage, user satisfaction, information quality, and service quality can significantly improve the benefits derived from HMIS in hospital settings. Targeted interventions, such as user training, system upgrades, and enhanced technical support, are essential for maximizing the potential of HMIS and improving healthcare delivery.

Publication Details

Journal
Journal of Angiotherapy
Published
2024-11-01
DOI
https://doi.org/10.25163/angiotherapy.81110061
Citations
5
Primary Topic
Healthcare Quality and Satisfaction
Type
article
Field-Weighted Citation Impact
4.25
Controls
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article

Impact of Health System Usage, Patient Satisfaction, Information Quality, and Service Quality on Hospital Management Information System Utilization at Madani Regional General Hospital

5 citations
Journal of Angiotherapy
Healthcare Quality and Satisfaction
4.25
article

Impact of Health System Usage, Patient Satisfaction, Information Quality, and Service Quality on Hospital Management Information System Utilization at Madani Regional General Hospital

article en
5 citations

Abstract

Background: Recruitment in healthcare, particularly in hospitals, often faces challenges in aligning employee competencies with job requirements, leading to operational inefficiencies. The increasing complexity and volume of patient data necessitate efficient information systems for optimal healthcare delivery. Hospital Management Information Systems (HMIS), which integrate workflows and enhance operational efficiency, are crucial for addressing these challenges. However, their effective implementation and utilization depend on various factors, including system usage, user satisfaction, information quality, and service quality. Methods: This study employed a quantitative, cross-sectional design to assess the relationships between human and technology-related factors and the net benefits of the HMIS at Madani Regional General Hospital in Palu, Indonesia. A sample of 172 respondents, determined using the Slovin formula, completed structured questionnaires evaluating system usage, user satisfaction, information quality, service quality, and perceived net benefits. Data were analyzed using univariate, bivariate, and multivariate statistical methods, including Pearson correlation and binary logistic regression. Results: The findings revealed significant positive relationships between system usage, user satisfaction, information quality, and service quality with net benefits (p < 0.05). Specifically, improved system usage, higher user satisfaction, better information quality, and superior service quality were strongly correlated with positive outcomes in HMIS utilization. Binary logistic regression identified system usage as the most influential predictor of net benefits (p = 0.006, Exp(B) = 3.242). The model explained 21.2% of the variance in net benefits and demonstrated an accuracy of 79.7%. Conclusion: The study underscores the critical role of human and technology factors in the effective utilization of HMIS. Enhancing system usage, user satisfaction, information quality, and service quality can significantly improve the benefits derived from HMIS in hospital settings. Targeted interventions, such as user training, system upgrades, and enhanced technical support, are essential for maximizing the potential of HMIS and improving healthcare delivery.

Journal of AngiotherapyVol. 8(11)
Openalex Percentile: Top 5%
Healthcare Quality and Satisfaction
4.25
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