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Client Context
Patient Cohort Analytics Longitudinal Outcomes Monitoring for Chronic Care
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Sector:
Hospitals / Integrated Care Networks
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Geography:
U.S.
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Engagement Type:
Longitudinal patient cohort modeling
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Scope:
Diabetes, hypertension & cardiovascular comorbidity care
Challenges
Challenges
- Patient risk stratification was based on visit-level data rather than population trend insights.
- No unified view existed across labs, vitals, medication adherence, and social determinants of health.
- Care managers lacked a data-driven framework to prioritize follow-ups.
Our Apporach
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Built a canonical patient record combining EHR, lab feeds, wearable data & care management notes.
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Implemented cohort progression algorithms to identify deterioration patterns.
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Delivered care-pathway recommendations based on risk, comorbidity patterns & past response. .
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Provided dashboards for clinical, operational & population-health teams.
Impact Delivered
- Avoidable readmissions dropped by 14% in high-risk patient cohorts.
- Care-manager workload efficiency improved by 1.9× through intelligent prioritization.
- Enabled early intervention for 28% of patients exhibiting silent deterioration signals.
30+ years of Industry experience in delivering pioneering data and QA solutions.
