"Embracing the frontier of HealthTech innovation. Data-driven solutions, AI-powered insights – together, we're shaping a healthier future."
Driving convergence, powering business decisions and transforming healthcare outcomes
Revolutionize your healthcare enterprise with our advanced data, analytics, and AI solutions.
From leveraging big data to predictive analytics and machine learning, we deliver customized strategies to unlock valuable insights, enhance decision-making, and optimize patient care. Backed by industry expertise, our team empowers you to stay ahead in the dynamic healthcare landscape.
Collaborate with us to turn your data into actionable intelligence and drive transformative AI-driven advancements.
Integration & Interop (FHIR)
We have one of the world’s largest certified interoperability teams. We have developed 6,000+ interfaces across 350+ clinical applications
Highlights are:
- FHIR enablement services
- Clinical data integration
- Connections to EAI platforms
- Interface development
- Integration of structured, semi-structured & unstructured data sources
Data Engineering
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
Healthcare Analytics
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
Full Stack Data Science
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).
AI Engineering
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
