The objective of this project is to design a cloud-based healthcare analytics system that processes patient data to identify treatment trends and health patterns. The system ensures secure data storage, scalable analytics, and improved decision-making for healthcare providers.
Study healthcare data standards and challenges related to cloud deployment.
Design a cloud architecture that supports secure storage and high availability.
Collect and preprocess anonymized patient health records for analysis.
Store healthcare data securely using cloud databases and encryption techniques.
Apply analytical methods to identify disease patterns and treatment effectiveness.
Implement visualization tools to display patient trends and health statistics.
Develop role-based access for doctors, staff, and administrators.
Ensure compliance with basic data privacy and security principles.
Test system scalability under increasing data volume.
Prepare detailed documentation including system design, results, and limitations.
