An Integrated Questionnaire Survey Method Utilizing Cloud Services and Communication Platforms: Enhancing Research Efficiency in Healthcare Settings

Questionnaire surveys are a common data collection method in nursing research, but traditional research methods face challenges such as low efficiency and inconsistent data quality. This study proposes a Platform-integrated Real-time Intelligent Survey Model (PRISM) based on cloud technology and instant messaging platforms. PRISM integrates Google Workspace, LINE Messaging API, and Google Cloud, achieving efficient questionnaire management, real-time data validation, and visualization analysis. In an application at a regional hospital, PRISM reduced data collection time from 30-45 days to 14 days, data processing time from 13.33 hours to 0.5 hours, and research costs from 15,000-20,000 NTD to approximately 10 NTD. PRISM improved data quality through automatic contradiction detection and real-time feedback mechanisms, providing an efficient, low-cost, and high-quality solution for large-scale, multi-stage questionnaire surveys.