CEPT Solutions built an AI-powered clinical research platform for a healthcare company, enabling integration of fragmented patient data, advanced analysis of unstructured medical records, and compliance-ready scalability to accelerate discoveries in rare disease research.
Clinical research faced inefficiencies with fragmented IoT data, unstructured medical records, and costly analysis workflows. Cept Solutions designed a cloud-based platform using AI/NLP, IoT integration, and secure data pipelines. With end-to-end encryption, role-based access, and scalable architecture, the system streamlined biomarker identification, accelerated patient data analysis, and significantly reduced research costs while maintaining strict HIPAA/GDPR compliance.
Fragmented data from IoT/wearable devices.
Large volumes of unstructured clinical text.
High costs of traditional data analysis.
Compliance with HIPAA/GDPR.
Need for scalable cloud performance.
Limited biomarker discovery capabilities.
We delivered a secure, cloud-native platform with AI-driven NLP, IoT integration, and scalable architecture. It unified unstructured data, improved research workflows, and ensured compliance with healthcare regulations, enabling faster and more cost-efficient discoveries.
NLP for unstructured medical records.
Device data captured in real time.
End-to-end encryption and MFA.
Unified view of patient datasets.
High-volume processing capability.
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