Doctor's Voice :Voice to Text Report Generation
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
Healthcare providers in remote or low-network areas often struggle with managing patient data due to limited digital infrastructure and heavy reliance on manual processes. To address these challenges, we developed an automated solution designed to streamline data entry, analysis, and report generation for doctors working in such environments. The solution incorporates a user-friendly React.js frontend, offering an intuitive and responsive interface that allows healthcare providers to easily input, view, and manage patient records. A key feature of this system is a custom voice-to-text Al model, enabling doctors to dictate patient details, which are then processed through the Google Gemini 2.0 Al model for accurate text analysis and key data extraction. This approach reduces the need for manual documentation, saving time and improving the accuracy of patient records. To ensure secure storage and retrieval of sensitive information, the backend is powered by MongoDB with advanced encryption techniques and a hierarchical access system. This ensures that only authorized personnel can access patient data, further enhancing data security and privacy. The architecture of the solution not only automates the healthcare workflow but also improves data reliability and operational efficiency. By reducing the administrative burden and facilitating real-time data access, this system can significantly improve healthcare delivery in resource-constrained settings, with the potential for global scalability.