Development of a Dynamic Web Data Collection Platform for Public Health Research

The client faces challenges with legacy web interfaces that lack ownership, flexibility, and capacity to handle complex household data clusters, leading to manual data entry and inconsistent data management, which hinder rapid response to evolving public health needs.

A mid-sized public health research organization conducting epidemiological studies and requiring flexible data collection tools.

• Develop a customizable web data collection platform supporting dynamic questionnaire modeling based on participant responses.
• Create an administrative dashboard for data management, follow-up scheduling, and pattern analysis.
• Enable ownership and adaptability of the platform by the client, allowing easy updates and modifications.
• Implement data migration tools to transfer existing aggregated data into the new system.
• Ensure responsive design and automated communication features like email notifications for participants and researchers.
• Deliver a high-quality, scalable solution within a tight timeframe to support immediate data collection efforts.

• Dynamic questionnaire logic allowing branching and conditional question pathways based on responses.
• Super admin dashboard with data visualization, participant follow-up management, and study pattern analysis tools.
• Support for multiple user roles, including researchers, participants, and administrators.
• Automated email notifications for scheduling and reminders.
• Data migration scripts to import legacy aggregated data into the new system.
• Responsive design optimized for smartphones and desktops to maximize accessibility.
• API integrations to facilitate data collection automation and external system connectivity.

• Email service providers for automated messaging.
• Existing data sources or legacy systems for data migration.
• APIs for external analytics or reporting tools if applicable.

• High performance with the capacity to handle rapid data collection and real-time analytics.
• Security features to ensure participant privacy and data protection per regulatory standards.
• Scalability to support increasing participant numbers as the study expands.
• Rapid deployment capability within a two-month development cycle.
• System reliability and uptime requirements suitable for critical public health research.

The new data collection platform is expected to significantly reduce manual data entry efforts, improve data accuracy, and enable rapid, flexible survey deployment to support ongoing epidemiological research. Its scalable and adaptable design will facilitate timely analysis of evolving health data, thereby enhancing the organization’s ability to respond swiftly to public health crises and improve study insights.