COVID-19 Analytics Dashboard: Harnessing Descriptive & Predictive Analytics

Project Background & Description


Our project leverages advanced technology to analyze health data and address the COVID-19 pandemic. Using the HL7 FHIR server combined with ETL tools and machine learning, we've built a COVID-19 Analytics Dashboard. This dashboard provides critical insights into the virus's spread, impacts, and key risk factors, assisting healthcare professionals and policymakers in their decision-making processes.

Designed for scalability and adaptability, our system can be easily integrated by healthcare organizations worldwide. It offers a robust infrastructure capable of handling diverse data sets from various healthcare systems, making it an invaluable tool for the public healthcare sector. This versatility ensures that healthcare providers, regardless of their size or location, can utilize our platform to improve public health management and respond more effectively to the challenges of COVID-19.

Key Benefits


Efficient

Insightful

Interoperable

Robustness

Key Technologies Used


HL7 FHIR Server

Apache PySpark

Apache Superset

Docker Desktop

Students


CHONG SIANG NATHAN

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Supervisor


Zaw Htet Wai (Mr)


Industry Partner


IPRD Solutions