Integrating Digital Health Platforms for Real-Time Disease Surveillance and Response in Low-Resource Settings

Abstract

More and worse infectious disease outbreaks in areas with limited resources prove that fast disease monitoring and fast action are crucial. Older paper-based systems tend to be slow, divided, and do not adequately detect and handle threats to people’s health. The study looks into including mHealth, cloud-based EHRs, GIS, and AI tools into disease surveillance in communities with few resources. By looking at available technology, carrying out case studies in sub-Saharan Africa and Southeast Asia, and interviewing key participants, the study discovers what enables digital integration, slows it down, and the benefits of it. Digital platforms properly carried out can lead to quicker action, more accurate information, and increased coordination in the face of health emergencies. Even so, shortcomings like low-quality internet, gaps in training people, and worries about data protection are still present. This report provides recommendations for those in charge of policy, donations, and public health agencies to support increasing digital surveillance systems and improving global health protection.