The study examined the effect of Internet banking on transaction efficiency in Uganda, focusing on Entebbe Municipality, Wakiso District. A cross-sectional research design was adopted, using a mixed-methods approach to collect both quantitative and qualitative data. The study population comprised administrators, financial and procurement officers, e-payment service providers, transaction processing staff, and e-payment system users, totaling 333 respondents. A sample of 244 respondents was selected using purposive and simple random sampling techniques.
Data were collected through structured questionnaires, semi-structured interviews, and document review, and analyzed using SPSS. Descriptive statistics summarized the data, while regression analysis examined the relationship between Internet banking usage and transaction efficiency. The results indicated a strong positive relationship between Internet banking and transaction efficiency, with a correlation coefficient of 0.758 and a coefficient of determination (R²) of 0.574. Regression analysis revealed that Internet banking significantly influenced transaction efficiency (B = 0.786, t = 18.057, p < 0.05), implying that a unit increase in Internet banking usage improved transaction efficiency by 0.786 units. The findings confirmed that Internet banking substantially enhanced the speed, accuracy, and overall effectiveness of financial transactions. The study concluded that Internet banking played a significant role in improving transaction efficiency in Entebbe Municipality. It was recommended that banks and policymakers promote
wider adoption of Internet banking by improving internet infrastructure, enhancing system reliability, providing user training, and ensuring secure, accessible online platforms.

Electronic Medical Records (EMR) systems represented a transformative technology in healthcare service delivery, yet their implementation outcomes varied across different healthcare settings in Uganda. This study examined the relationship between EMR adoption and healthcare service delivery quality in two major facilities in the Entebbe region. A cross-sectional study design was employed with a sample of 212 healthcare workers and administrators from both hospitals. Data were collected using structured questionnaires and analyzed using SPSS version 25. Pearson correlation coefficients and multiple regression analysis were utilized to determine relationships between EMR utilization and service delivery indicators. Descriptive results revealed that the majority of healthcare workers frequently used the EMR system in their daily tasks, with high agreement that EMRs were easy to use, improved data
accuracy, enabled faster retrieval of patient information, and enhanced the timeliness of service delivery. Mean scores ranged between 3.78 and 4.34, indicating strong positive perceptions of EMR effectiveness. Qualitative responses further confirmed that EMRs streamlined workflows, reduced manual errors, and supported quicker clinical decisions.
Correlation analysis showed that EMRs had a strong and statistically significant positive relationship with healthcare service delivery (r = 0.781, p < 0.01). This indicated that increased adoption, effective utilization, and user confidence in EMRs were associated with improved service efficiency, reduced waiting times, and enhanced accuracy in patient management. The study concluded that EMRs played a critical role in improving the quality and performance of healthcare services. The technology significantly enhanced operational efficiency, reduced medical errors, and improved patient care quality. Healthcare facilities should invest in comprehensive staff training programs, robust technical infrastructure, and continuous system maintenance to maximize EMR benefits and overcome implementation challenges.

The study examined the relationship between mobile money services and transaction efficiency in Uganda, using Wakiso District, Entebbe Municipality as a case study. The study adopted a descriptive cross-sectional research design and targeted administrators, financial and procurement officers, e-payment service providers, transaction processing staff, and e-payment system users. A sample size of 244 respondents was determined using the Krejcie and Morgan sample size table and selected through a mixed sampling approach involving purposive and simple random sampling techniques. Data were collected using structured questionnaires and key informant interviews, and analyzed using the Statistical Package for Social Sciences (SPSS). The results indicated a strong positive relationship between mobile
money services and transaction efficiency, as evidenced by a Pearson correlation coefficient of r = 0.719, which was statistically significant at the 0.05 level. The null hypothesis was rejected, confirming that increased adoption and use of mobile money services were associated with improved transaction efficiency. The findings showed that mobile money services enhanced transaction speed, reduced operational delays, improved accuracy, and increased convenience for users in Entebbe Municipality. The study concluded that mobile money services played a significant role in improving transaction efficiency and supporting effective financial transactions at the local level. It was recommended that mobile money service providers improve network reliability and agent liquidity, while policymakers strengthened regulatory oversight and interoperability to further enhance transaction efficiency.
Continuous user sensitization was also recommended to maximize effective utilization of mobile money services.

Hospital Information Systems represent critical infrastructure for modern healthcare delivery, yet their implementation in Ugandan hospitals faced numerous challenges. This study examined the extent of implementation and utilization of Hospital Information Systems in two major healthcare facilities in Entebbe. A cross-sectional study design was employed involving 212 healthcare workers from Entebbe Regional Referral Hospital and Dr Ronald Bata Memorial Hospital. Data was collected through structured questionnaires and analyzed using SPSS version 25.0. Chi-square tests were used to determine associations between variables at a significance level of p