This paper examines the use of computational tools and techniques to improve the delivery of public services with a particular focus on optimizing emergency response and disaster management systems. The paper then delves into the role of electronic tools in addressing these challenges and improving the overall efficiency and effectiveness of public administration. The research explores the integration of computational models, algorithms, and data-driven decision-making frameworks in the design and implementation of emergency response systems. The review provides a comprehensive review of current practices and limitations in emergency response systems, highlighting opportunities for computational tools to facilitate incident detection, factors a increased distribution, and coordinated decision-making. A combination of advanced analytics, predictive modeling and simulation techniques has been explored as a means to improve the responsiveness and robustness of emergency management operations. Finally, the study looks to the future, exploring emerging trends and technologies that promise to transform public administration through computerized tools. This includes the potential for artificial intelligence, machine learning and the Internet of Things to transform the way public services are designed, managed and delivered to the public.