TrakCare Assistant
Revenue Cycle Management
Medication Management



Fragmented data and siloed technology contribute to a 15-18* month time-to-market for new analytics, hampering a firm's ability to adapt models at scale. Data quality and inefficient use of data throughout the model management process impact model performance and increase the cost of analytics development.
InterSystems solutions make it easy to build, test, and deploy models that incorporate more data from more sources at every stage of the analytics development process, supporting effective data analysis and decision-making.
Our solutions automate data integration and quality checks, orchestrate workflows, ensure adherence to governance and compliance frameworks, and seamlessly integrate into your analytics environment to eliminate data duplication and manual data wrangling.

Our approach to data management is fundamentally different from data warehouses, data lakes, and data lakehouses. We enable firms to implement
a smart data fabric that connects to data at the source, and applies transformations, data pipelines, business rules, security, and analytical processing to data as it's being requested. This ensures that data is always current and accurate for any consumer. Our solutions can be deployed in the cloud, on-premises, or in a hybrid approach.
* McKinsey & Co “Scaling Analytics Across Financial Services: Understanding the Value of Model Life Cycle Transformations”





