Big Data Use Cases - Healthcare

Predict outbreaks using reliable EHR information on the geographical distribution and incidence of disease
as quickly as possible

• Provide data faster than surveillance systems that rely on patients/doctors voluntarily submitting reports.

Use pattern matching for predictive health: Correlate patient visits, diagnostics, and hospital/provider interactions across years of multiple visits

• Find repeatable patterns in patient data & long term illness diagnosis (hypertension, diabetes, cancer, etc.)
• Predict re-treatment risk & proactively address, to avoid re-admission within Medicare’s 30-day window

Identify best care approach via clinical analysis

• Longitudinal analysis of care across patients and diagnoses
• Cluster analysis around influencers on treatment, physicians, therapist; patient social relationships

Perform fraud analysis and identification via pattern analysis

• Understand relationships among parties (physicians, consumers, organizations), locations, time of filing, frequency and circumstances
• Detect potential for computer generated claims; graph analysis of cohort networks