Data collection is one of the important components of public health systems. Decision makers, policy makers and health service providers need accurate and timely data in order to improve the quality of their services. The rapidly growing use of mobile technologies has increased pressure on the demand for mobile-based data collection solutions to bridge the information gaps in the health sector of the developing world. This study reviews existing health data collection systems and the available open source tools that can be used to improve these systems. We further propose a prototype using open source data collection frameworks to test their feasibility in improving the health data collection in the developing world context. We focused on the statistical health data, which are reported to secondary health facilities from primary health facilities. The proposed prototype offers ways of collecting health data through mobile phones and visualizes the collected data in a web application. Finally, we conducted a qualitative study to assess challenges in remote health data collection and evaluate usability and functionality of the proposed prototype. The evaluation of the prototype seems to show the feasibility of mobile technologies, particularly open source technologies, in improving the health data collection and reporting systems for the developing world.