Infoslab

Infoslab was hired by a healthcare company to enhance their data and AI capabilities. The scope of the project was comprehensive and included data engineering, AI/ML model development, cloud migration, and the integration of healthcare-specific compliance and security frameworks. Infoslab successfully designed and implemented a scalable, HIPAA-compliant data lake and data warehouse architecture on Azure. They established real-time data pipelines to process EHR, claims, and patient engagement data. They also developed predictive models for patient readmission and chronic disease risk stratification, implementing explainable AI techniques to ensure transparency and alignment with regulatory requirements. Additionally, they built interactive Power BI dashboards for clinicians and administrators, reducing manual workload by 70%. The team migrated legacy systems to Azure cloud infrastructure and set up CI/CD pipelines for automated model deployment and monitoring. They also integrated role-based access controls, data masking, and audit logging to ensure full compliance with HIPAA and local data protection regulations, and established data lineage and quality tracking for key healthcare data sets. The healthcare company found Infoslab through a referral and chose them over other companies due to their high ratings, budget-friendly pricing, great culture fit, good value for cost, and aligned company values.