Data Analytics

The shifting landscape of healthcare policy and practice has created a vital need for healthcare data analytics.

At CSHI, we are focused on value as well as volume of care, using a vast library of algorithms and APIs to statistically model and characterize population health-level clinical outcomes based on a number of demographic factors:

• EHR (Electronic Health Records) / EMR (Electronic Medical Records)
• ADT (Admissions, Discharges, Transfers)
• Chronic Condition Management
• Population Health

Data Solutions

CSHI uses several analytical frameworks to gain insight into long-term healthcare patterns, aiming to:

• Strengthen programs through quantitative feedback.
• Positively impact patient and provider experiences within clinical Medicaid programs.
• Improve clinical workflow automation.
• Determine appropriate scaling measures for healthcare costs and practice.
• Apply algorithmic expertise to directly examine healthcare system inefficiencies.

RMEDE™ Analytics via Tableau