A leading healthcare provider in India focusing on affordable, technology-driven medical solutions. They operate multiple clinics and diagnostic centers, aiming to improve early disease detection and patient care outcomes.
The Challenge
The challenge centered on improving diagnosis accuracy, reducing manual workload, and ensuring compliance while handling large volumes of patient imaging data.
Large Volumes of Medical Imaging
Radiologists faced difficulties in managing and interpreting thousands of DICOM files daily.
Manual Diagnostics
Heavy reliance on manual interpretation led to delays in lung disease detection and treatment planning.
Accuracy & Compliance
Ensuring precision in diagnosis while maintaining HIPAA compliance was a critical requirement.
What Did We Do
They had issues with their data analysis, security, and compliance, designed better workflow management and improved security.
Conducted research on lung disease datasets specific to Indian patient demographics.
Partnered with radiologists to validate training data.
Ensured data compliance with HIPAA and Indian health data laws.
Applied preprocessing techniques to improve image clarity and annotation quality.
Built a pipeline to parse, process, and analyze DICOM files at scale.
Integrated with existing PACS systems for seamless retrieval and storage.
Automated anonymization to ensure patient data security and compliance.
Implemented metadata tagging for quicker case retrieval and audit readiness.
Designed APIs for real-time integration with hospital systems.
Reduced reporting delays by auto-generating diagnostic summaries from DICOM scans.
Implemented scalability features to expand across multiple diagnostic centers.
Provided radiologists with AI-driven second opinions, minimizing oversight risks.
The Results
The project yielded significant improvements and benefits
including:
The project yielded significant improvements and benefits including:
Faster Diagnosis
Reduced time to analyze DICOM scans by 60%, enabling quicker treatment decisions.
Improved Accuracy
Enhanced detection rates of lung diseases, lowering false negatives.
Compliance
Ensured HIPAA-compliant storage, processing, and transfer of sensitive medical imaging.
Workflow Efficiency
Automated integration with hospital PACS, eliminating manual image handling steps.
Scalability
Designed to support millions of DICOM scans annually without performance degradation.
Technologies We Used
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