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DataMedx – a Health Data Mesh

For a connected health platform

Activate and unify your data with our secure connected healthcare platform. Powered by APIs, data integration capabilities, and a suite of platform services and interoperable tools to enhance your existing applications and care delivery workflows.

DataMedx – a Health Data Mesh

For a connected health platform

Activate and unify your data with our secure connected healthcare platform. Powered by APIs, data integration capabilities, and a suite of platform services and interoperable tools to enhance your existing applications and care delivery workflows.

Activate all your data today to build a connected health platform. DataMedx creates a Health Data Mesh (HDM) for your organization that is powered by APIs, data integration capabilities, and a suite of platform services and interoperable tools in order to enhance your existing applications and care delivery workflows.

DataMedx aggregates and normalizes data from all your data sources (claims, clinical, labs, sensors etc.) and brings them into one unified patient record. Complete populations from multiple applications can now be accessed with a single data visualization layer resulting in superior patient outcomes and operational excellence. This is then powered by our algorithms for predictive analytics. It also allows you to deploy your own/other third party algorithms on top of it.

DataMedx is currently deployed with large healthcare organizations including health systems, payers, technology partners as well as our internal tools.

 

Example: Cost of Care Analytics for Chronic Conditions:

CloudMedx recently launched a cost of care analytics tool called “Chronic Conditions Explorer” for monitoring total health indices and outcomes for populations and individuals. At the backend, the Chronic Conditions Explorer uses the DataMedx framework to enable data standardization and API delivery. The tool provides analytics across the US for over 20 chronic conditions from the perspective of risks, prevalence, cost, hospitalizations, readmissions, SDOH,  and other factors at the state, county, and zip code level. These insights assist with identifying population groups as well as individual patients who are at high risk and provides clinical, social and SDOH related health factors that may be impacting them so that better care management and cost management can be achieved. It also highlights what factors contribute to bad or good outcomes and recommends best practices.

DataMedx is used at the backend to collect data regularly from over 3000 hospitals, 3500 counties, 50 states, and Medicare and deliver them as APIs to the Chronic Condition Explorer.

The Chronic Conditions Explorer is available at: https://ccd.cmxcloud.com/