Data and Analytics
As the amount of data generated increases and inundates healthcare organizations, timely access to data and actionable intelligence is crucial for improving care and business performance. The usefulness of a company’s BI strategy depends on the visibility into how the information is stored, transformed, and made available to the end users.
Our experienced team can help accelerate your data journey, from faster data aggregation and AI readiness to catching up with a backlog of reports, by leveraging our well-tested technology frameworks and flexible engagement models. We offer customized analytics solutions, Integration Services, and a modern data platform that can scale with the growing amount of healthcare data and evolving organizational needs.
Development and Management of Reports
15 years of experience building thousands of reports from various EMRs including Epic enables us to be efficient, predictable, and faster. We tailor our delivery models to best fit your needs. More →Development and Mgmt. of Reports
- SQL and Clarity report writing, including report scoping and design with operations
- Report Optimization
- Epic Clarity and Caboodle Administration
- Data Marts and Warehouse setup
- Data visualization and self-service
Data Integration Services
Faster, better, cost-effective solution for enterprise-wide data integration and management across multiple IT environments at measurable SLAs-based managed service at a fixed fee. More →Data Integration as Service
- Enterprise data consolidation in any format in any data
- 360 View of patient data
- Mapped to FHIR model
- Data accuracy, consistency and governance
- Interoperability
- Fully leverage your existing data integration tools
HL7 and ETL Management
ETL and HL7 services, which support EMR -specific integration engines and third-party tools such as Cloverleaf, are designed to complement your staff and extend your existing processes. More →HL7 and ETL Management
- HL7 Interface development and deployment
- Upgrade and maintenance of ETL processes
- Mapping, configuring, and testing of interfaces
- Monitoring and maintaining deployed interfaces
- Transition from a legacy engine to a new
Data Platform
Data Platform
- Faster integration of enterprise information from diverse sources
- A nerve center where data is processed, analyzed, and transformed into actionable insights
- Combines advanced analytics, AI, and machine learning to provide real-time intelligence to users
AI Labs
- AI ready platform – data consolidation and curation
- Co-innovation and commercialization
- AI agents for automation
- Interdisciplinary staff – data scientists, clinicians, and technologists
- Staff abreast with evolving Gen AI tools