This project is developed as part of ECE:5830 Software Engineering Project in the Department of Electrical and Computer Engineering at The University of Iowa.
- Group ID: 002_ImagePro
- Project Title: ImageInsights
The ImageInsights project is a collaborative effort aimed at developing an enterprise-level software solution for a medical imaging company. This project addresses the complex needs of the healthcare industry by providing a comprehensive system that includes the following key features:
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AWS Hosted System: We have created a robust and scalable system hosted on Amazon Web Services (AWS), ensuring high availability and reliability.
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Study Processing: Our software enables the efficient processing of medical studies, streamlining the workflow for the medical imaging company.
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Compute Node Management: We've implemented a compute node management system that hosts the company's imaging products, allowing for efficient computation and data processing.
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Automated Records Organization: The system automates the organization of medical records, making data retrieval and management more efficient.
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Front-End Visualization: Our software offers a user-friendly front-end interface, providing access to crucial metrics and visualization tools for easy data interpretation.
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Data Security: We prioritize data security and have implemented measures to ensure compliance with Patient Health Information (PHI) standards, safeguarding sensitive patient data.
This project represents a significant step forward in the field of medical imaging, providing an all-in-one solution that enhances efficiency, data security, and accessibility for healthcare professionals.
This project was created by the following contributors:
- Michal Brzus
- email: [email protected]
- Ivan Johnson
- email: [email protected]
- Audrey Powers
- email: [email protected]
- Zachary Morris
- email: [email protected]
View our comprehensive User and Developer Guide
Note: This project is currently under development and is not authorized for external use at this time.
We would like to express our gratitude to the Department of Electrical and Computer Engineering at The University of Iowa, suervisor Dr. Hans J. Johnson, and teaching assistant Curt Fitzgerald for their support and guidance throughout the development of this project.