Data, Analytics & AI

We have one of the world’s largest certified interoperability teams (250+ HL7 & FHIR certified). We have developed 6,000+ interfaces across 350+ clinical applications​

Highlights are:

• FHIR enablement services
• FAST+ (FHIR implementation platform)
• Clinical data integration
• Connections to EAI platforms
• Interface development
• Integration of structured, semi-structured & unstructured data sources

We offer robust solutions around large scale EDW implementation for population health, predictive analytics, operational efficiency, etc. 

Highlights are:

• Modern Data Pipeline: Cloud adoption, data lakes & modern data warehouse​
• BI-DW: EDW assessment, data acquisition, data modeling & reporting (managed services)​
• EIM (Enterprise Information Management) strategies​
• Data quality, security & MDM​
• Industry models (FHIR, UDMH, OMOP) & custom data models: Clinical, claims, operations, managed care

Our Healthcare Analytics practice helps organizations leverage emerging technologies to meet current and emerging BI, analytics and reporting needs. 

Highlights are:

• Enterprise level analytics: Actionable insights with advanced visualizations and embedded analytics to meet descriptive and predictive needs​.
• Pre-defined KPIs, dashboards & scorecards: BI-Clinical (OEM BI), system health dashboards​
• Streaming analytics: Real-time data processing
• Self-service & ad-hoc analytics enablement​
• Log analytics: Aggregate and pre-identify KPIs

Our team of data scientists, engineers and consultants have deep expertise across the spectrum of healthcare Data Science use cases. Key focus areas include:

• Intelligent systems: Building AI-enabled next-gen products and platforms
• Insights and difficult data: Go beyond traditional rules based ETL and structured data.
• Drive decisions: Extend conventional analytics processes to rich, data-driven insights.
• Digital transformation: Improve business outcomes through intelligent automation (RPA).

With deep expertise around model development, training, validation, scaling and performance optimization, we help clients develop next-gen, AI-powered products and platforms​. Highlights are:

• Engineering Design: Services for model deployment (Cloud / on-premise), performance & scalability​
• Model integration: Workflow alignment, data availability and data transformation
• Model validation: Model performance testing, end-to-end workflow testing
• MLOps: Model deployment, management and KPI monitoring

The Embedded Intelligence Framework helps organizations build ROI-driven solutions by leveraging healthcare datasets, AI/ML and smart automation. It has been successfully deployed across a variety of healthcare use cases:

• Genomic and Imaging Data Digitization
• AI-enabled solution to identify patients for proactive care management.
• Software as a Medical Device (SaMD) solution to predict high risk patients and recommend medication care plan​.
• Increasing payer auto-adjudication rate using ML model along with RPA

We empower healthcare organizations to go beyond traditional BI and analytics tools. Our solutions help customers leverage AI/ML and predictive analytics and key healthcare use cases such as:

• Stars Decision Engine (SDE): Health plan performance tracking and improvement for Star programs
• Member Outreach Services: Intelligent targeting and recommendations to enhance member engagement.
• Intelligent Adaptive Monitoring (IAM): Improving service-operations of medical devices by analyzing telemetry data to detect anomalous events​.