Healthcare data analytics is used to get actionable insights out of healthcare data to support fact-based decision-making. Having 32 years in data analytics and 16 years in healthcare.

Healthcare Data Warehousing

• Design of a healthcare data warehouse and data marts to structure healthcare data for analytical querying and reporting.

• Protected Health Information (PHI) storage.

• Integrated storage of EHR/EMR, ERP, HR management systems data, data from public medical databases, R&D results data, etc.

Healthcare Business Intelligence

• Operational analytics (staff scheduling optimization, facility maintenance, claims management, etc.).

• Patient analytics (patient segmentation, patient journey analytics, treatment plans optimization, etc.).

• Financial analytics (financial fraud detection, financial risk management, etc.).

• Performance monitoring of the healthcare staff.

Healthcare Data Visualization

• Real-time self-service operational dashboards (hospital admissions and load, EMR/EHR data, etc.).

• Strategic interactive dashboards (key performance indicators, patient trends, hospital performance, etc.).

Big Data in Healthcare

• Capture and storage of EHR/EMR data, medical device data, data from patient apps, portals, other patient-related data.

• Real-time analytics of medical device data.

Predictive Analytics

• Healthcare supply chain optimization and planning (ML-based demand forecasting, supplier risk management, etc.).

• Disease management (ML-based prediction of patient readmissions, diagnosis validation, etc.).

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