Healthcare EDW & Analytics on Azure Synapse - 10 week Implementation

Healthcare Organizations 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 distil insights from their data.

CitiusTech's Data & Analytics Practice combines architectures, policies, practices and roadmaps, to address the information needs of a healthcare enterprise. This EDW Implementation service helps our customers leverage Azure Data Lake to stage data from various sources and Azure Synapse to analyze large healthcare datasets. Further, Azure Data Factory will be used to transform staged data in Azure Data Lake into a common structure within Azure Synapse.

Given below are areas in which we can help our clients build solutions on the Azure 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 modelling

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

Key Healthcare Use cases: • 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 built a single source of truth providing a 360-degree view of the members enabling further proactive care. For e.g. the client can now 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.

**The price quoted is indicative and will vary depending upon the actual complexity and scope.