CloudMedx’s Analytics helps to identify probable cases for Chronic Care Management

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CloudMedx’s-Analytics-helps-to-identify-probable-cases-for-Chronic-Care-Management-300x129 CloudMedx’s Analytics helps to identify probable cases for Chronic Care ManagementIn the healthcare and Data Analytics platform now hospital staff can identify, track & enroll care and treatment of patients in need of chronic care management, with the help of newly announced CloudMedx competencies.

To improve patient outcomes CloudMedx Analytics combines machine learning and Big Data Analytics in care and treatment. CloudMedx helps physicians to identify people who are at risk of incapacitating illness in time for interventions to minimize the risk of their probable illness using Predictive Risk Analysis.

CloudMedx’s analytic platform integrates with Labs and Hospitals to collect relevant information at the point of care, which is later shared across the continuum.Patient engagement, integration of information workflows such as adding multiple EHRs into the care coordination workflow, curated care plans and staff coordination are few new features of CloudMedx Analytics Platform.

The Centers for Medicare and Medicaid Services recompenses care providers for providing CCM services because they save money that would otherwise be spent on costly future events such as complications, hospital readmissions and emergency room visits. Two-thirds of Medicare beneficiaries have two or more chronic conditions, CMS estimates.

Workflow of identifying, enrolling, stratifying, and communicating with patients is automated by CloudMedx directly through a portal. This Analytics Platform can directly be integrated into the APIs existing workflow.