This project is a Patient Data Management System designed to help medical professionals manage patient data efficiently and securely. It provides functionalities for adding, updating, deleting, and viewing patient records, with a focus on data security and ease of use.
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User Authentication: Secure login for doctors, nurses, and administrators.
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Patient Data Management: Create, read, update, and delete (CRUD) patient records.
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Design: Based on cleint request I ensured that the website can run efficiently on devices with limited memory and operate reliably even on slow internet connections
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Search Functionality: Quickly find patient records using filters like name, age, and medical history.
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Role-Based Access Control: Different levels of access for different user roles.
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Data Encryption: Patient data is encrypted to ensure security.
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Audit Logs: Track all actions taken in the system for transparency and security.
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AI-Driven Drug Efficacy Prediction: Utilize machine learning algorithms to predict the effectiveness of prescribed medications based on patient history, medical data, and clinical studies.
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Frontend: HTML5, CSS3, javascript
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Backend: Node.js with Express.js
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RESTful API architecture
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Database: MySQL
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cloud: AWS EC2, AWS RDS