A Data-Driven Approach to Child Health Monitoring and Medical Leave Automation

Abstract

Schools play a vital role in student health but often lack real-time medical updates. Traditional parental reporting of student illnesses is slow and prone to errors. This paper proposes integrating hospital Electronic Health Records (EHRs) with the Educational Management Information System (EMIS) for real-time health monitoring and automated medical leave certification. The system uses FHIR/HL7-compliant APIs to securely send medical updates and leave certificates from hospitals to schools. Role-based access control (RBAC) and encryption ensure compliance with data protection laws. When a student is diagnosed, hospitals update the EHR, generating a digital medical leave certificate that is instantly sent to EMIS, allowing schools to update attendance and support remote learning. This integration improves emergency response, automates leave tracking, prevents fraud, and enhances communication between schools, parents, and healthcare providers. Anonymized data can also help government agencies track disease outbreaks. Challenges like data privacy, interoperability, and adoption resistance are addressed through encryption, standardized protocols, and pilot testing. Future research will explore AI-driven health risk prediction and blockchain-based medical leave verification. By connecting healthcare and education, this system enhances student safety, reduces administrative burdens, and improves communication among stakeholders.

Keywords: EMIS, EHR, child health monitoring, medical leave certification, HL7, FHIR, real-time health data, school emergency response, data privacy.