Laravel Technology based Maternal e-Healthcare Systems with Improved Response Time and Stability
Pradeepkumar C Dhage, Rajesh A. Thakker, Krishna Keshavrao Warhade · International Research Journal of Multidisciplinary Technovation · 2025
Various maternal e-healthcare systems contribute a great deal to providing holistic care, but most of them are rife with technological constraints that make it impossible for them to address the needs of modern healthcare. The constraints consist mostly of obsolete infrastructures, limited and inefficient integrations, with poor large-scale operational management systems. Literature cited the maternal e-health systems are facing challenges in the area of interoperability, scalability, security, and usability. Key performance indicators to consider encompass response time and stability of the system. Mechanisms in the Laravel Framework are used to address the issues raised by the following: module-based architecture, caching, and queue management. It should however be noted that literature has shown an apparent gap of research that has greatly impacted on response time and stability in maternal e-health systems. Additionally, there is a critical lack of slim systems broad integration that's driven by data. To fill these gaps, this research is intended to strengthen the two performance indicators by means of Laravel use. The research enhances the given e-healthcare system, to increase performance outcomes regarding response time and system reliability, through the use of the Laravel framework, on the modules including user authentication, data collection, and report generation. Detailed performance measures to be studied will include load, stress, and endurance testing with JMeter in response time, and throughput, and error rate settings. The assessment of system performance based on the functionality of Laravel focused on the following metrics concerning the predetermined service-level agreement: mean response time, throughput, and error rates. The results from the analyses are merged with the graphs and tables which indicate an improvement in performance.