https://store-images.s-microsoft.com/image/apps.55631.fddf8f6c-4a5c-401b-a449-2d123288902b.12f2736a-5d26-443d-ab5d-df4070bd7ed5.1877d011-e415-458f-8ab5-2b789ff13117

Epic + Azure Synapse

Stratum

Epic + Azure Synapse

Stratum

Empowering healthcare organizations to achieve more.

Population Health Management is an important tool that is increasingly being used by health care providers to manage and control escalating costs. 


The crux of Population Health Management is to use data to improve health outcomes. Tracking, monitoring, and benchmarking are the three bastions of Population Health Management, aimed at improving clinical and health outcomes while managing and reducing cost.

As an example of a machine learning application with population health management, a model is utilized to predict the length of hospital stay. It is geared towards hospitals and health care providers to manage and control the health care expenditure through disease prevention and management. Hospitals can use these results to optimize care management systems and focus their clinical resources on patients with more urgent needs. Understanding the communities they serve through population health reporting can help hospitals transition from fee-for-service payments to value-based care while reducing costs and providing better care.

The solution is composed of several Azure components that perform various tasks for data ingestion, data storage, data movement, advanced analytics and visualization.

  • Azure Event Hub is the ingestion point of raw records that will be processed in this solution.
  • These are then pushed to Data Lake Store for storage and further processing by Azure Stream Analytics.
  • A second Stream Analytics job sends selected data to PowerBI for near-real-time visualizations.
  • Azure Data Factory orchestrates, on a schedule, the scoring of the raw events from the Azure Stream Analytics job by utilizing Azure Synapse Analytics.
  • Results of the scoring are then stored in Azure Data Lake Store and visualized using Power BI.

Benefits

  • Decrease claims transaction costs - Synthesize real-time and historical patient data from EMR, claims, and labs to develop unique patient index resulting in 5.4% cost savings across $400M transactions in 12 weeks
  • Reduce costs of care delivery - With analytics and machine learning, customer developed a smart chronic disease program and reduced costs for patients by 60%
  • Reduce readmissions rates - Reduced readmissions for high-risk patients to 10.8% against the national average of 20%

Contact us today to learn more!

https://store-images.s-microsoft.com/image/apps.28245.fddf8f6c-4a5c-401b-a449-2d123288902b.026e9298-a8a6-4d08-8b41-1ebc9d79657b.4e928a95-909f-4e57-a35a-eb6ee2edfbcc
https://store-images.s-microsoft.com/image/apps.28245.fddf8f6c-4a5c-401b-a449-2d123288902b.026e9298-a8a6-4d08-8b41-1ebc9d79657b.4e928a95-909f-4e57-a35a-eb6ee2edfbcc
https://store-images.s-microsoft.com/image/apps.57225.fddf8f6c-4a5c-401b-a449-2d123288902b.026e9298-a8a6-4d08-8b41-1ebc9d79657b.8bb2403b-0762-4e2f-97f8-6db74f4120e4
https://store-images.s-microsoft.com/image/apps.22701.fddf8f6c-4a5c-401b-a449-2d123288902b.026e9298-a8a6-4d08-8b41-1ebc9d79657b.e84ea576-36c4-42e9-be1f-7e201d2a6d28