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  4. Data Analytics

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.