Healthcare Organisations need to make informed decisions to improve patient outcomes, increase member growth and retention and enhance provider engagement. Most organizations are faced with challenges when it comes to being able to analyze and distill insights from their data.

CitiusTech's Data & Analytics Practice combines architectures, policies, practices and roadmaps, to address the information needs of a healthcare enterprise. Given below are areas in which we can help our clients build solutions on the Snowflake platform:

Data Engineering & Analytics:

• Ingestion framework for easy configuration of healthcare data
• Member, patient cohort segmentation, benchmarking models

Data Warehouse:

• Readymade Healthcare data models - Clinical, claims, financial
• Data Lake for AI modeling

Snowflake Accelerators:

• FHIR repository and API integration
• FHIR parser for data ingestion
• Care Gaps Rule Engine

Key Healthcare Usecases:

• Helping Health Plans deliver quality care outcomes with 360-degree member views
• Enabling Health Providers to achieve interoperability & unlock insights to help improve patient care
• Enabling real time streaming & predictive insights by leveraging data from smart wearables/IoT devices

Case Study: A large health plan with over 3 million members needed to work towards improving member health outcomes. CitiusTech leveraged Snowflake to build a single source of truth and a 360 degree view of the members. CitiusTech, further helped the client identify members who have or who might be at risk for diabetes or cancer - enabling them to proactively extend the required and improve member experience."