HealthX: Smart Health Record Management System with Speech Input
Maintaining personal health records is an essential aspect of modern healthcare, this helps ensure accessibility, efficiency, and solutions that need to be provided. The entire study will enable HealthX, an intelligent health document management system, to manage and store health data using voice commands. The platform engages patients and healthcare providers with the voice-to-text feature-file uploads by how they manage medical records including data entry by voice and usability improvement. Searching through the catalogue of doctors, scheduling an appointment, accessing first-aid information, and securely storing patient history data are the other interesting features. In this case, the system allows digital literacy to be accessed by users with multiple skill levels. The system underwent evaluation by 500 users under different conditions. During this process, the system was found to be 99% accurate in quiet environments, with performance decreasing in noisy settings and strong accents. To address the issue of data security and privacy, HealthX nominates access based on the user roles that are currently defined. Those roles allow patients to view their records, healthcare providers to access only authorized data, and governmental authorities to analyze anonymized data for public health policy development globally. In this way, data safety is guaranteed by accompanying rules and norms by HIPAA, GDPR, and NDHM. The project has its foundation in MongoDB, Express, and Node.js. With the coming of other updates, technologies like speech recognition, wearable device support, and AI-powered analytics for real-time health monitoring, multilingual support, and remote patient care will be the main focus of HealthX, which will thus become an intelligent, secure and patient-centric healthcare solution.
Authors
- Chudaman Sukte (ORCID: https://orcid.org/0000-0002-2100-8242)
- Tushar Patil (ORCID: https://orcid.org/0000-0002-8470-1802)
- Swati Patil (ORCID: https://orcid.org/0000-0002-9278-5786)
- Yuvraj Nikam
- Sachin Ware
- Shreya Keripale
Institutions
- International Institute of Information Technology (IN)
Publication Details
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1109/icoact63339.2025.11004679
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00