Welcome to the Hospital Management System repository! This project is a comprehensive C++ implementation of a Hospital Management System, designed and developed with a focus on Object-Oriented Programming (OOP) principles. SmartHealth: Integrated Hospital Management System with EHR SmartHealth goes beyond conventional Hospital Management Systems by incorporating Electronic Health Records (EHR) functionality, enriching the patient and doctor experience. This C++ project, built on robust Object-Oriented Programming (OOP) principles, seamlessly integrates IoT sensor data, appointment management, and secure EHR storage. Let's explore the expanded features:
Features:
- Patient-Centric Features: Appointment Booking: Patients can effortlessly schedule appointments, minimizing waiting times and optimizing their healthcare experience.
Medical Records Access: Comprehensive access to Electronic Health Records, spanning the last three months, providing a detailed historical overview of medical treatments, medications, and illnesses.
IoT Sensor Integration: Real-time data from IoT sensors, such as patient movement, is processed and incorporated into EHR for a comprehensive understanding of patient health.
- IoT Sensor Data Processing: Data Calculation: The system intelligently processes IoT sensor data, extracting valuable insights to aid healthcare professionals in making informed decisions.
- Doctor-Centric Features: Appointment Management: Doctors efficiently manage appointments, approve bookings, and access EHR for a complete patient history analysis.
Patient Reports: Access to detailed patient reports, including EHR data, enabling doctors to offer personalized and effective medical care.
- RMC2 Integration: Centralized Management: RMC2 acts as the central hub for coordinating hospital operations, integrating IoT data, and managing EHR securely.
Data Security: EHR data, encompassing the last three months, is stored securely with encryption, ensuring patient confidentiality and compliance with privacy regulations.
Binary File Handling: Efficient binary file handling optimizes the storage and retrieval of patient records, IoT sensor data, and EHR information. Contribution: Contributions to SmartHealth are encouraged! For suggestions, enhancements, or bug fixes, please open an issue or submit a pull request.
SmartHealth is committed to advancing healthcare management, leveraging technology to provide a comprehensive solution for hospitals and patients, with a special focus on secure and accessible Electronic Health Records.