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AI Hospital Readmission Risk Stratifier

Paisley Suzuki

Full-time · Job · Chicago

About the role

CMS penalizes hospitals financially for excess 30-day readmissions. A patient readmitted within 30 days of discharge for congestive heart failure costs the hospital both the readmission care cost and the CMS penalty applied to all heart failure DRG payments for the year. Hospitals that can accurately stratify discharge patients by readmission risk and intervene for high-risk patients reduce readmissions, improve patient outcomes, and avoid millions in penalties. We serve 32 health systems with predictive analytics capabilities. Readmission risk stratification is one of our most operationally impactful products: the model output goes directly into the discharge planning workflow, where care coordinators use it to decide which patients need post-discharge follow-up calls, home health referrals, or pharmacist medication reconciliation. You'll maintain and improve the readmission risk model: retraining on updated claims and clinical data, evaluating performance across patient populations and hospital units, implementing bias monitoring ensuring the model doesn't underpredict risk for specific demographic groups, and building the model output integration that surfaces risk scores in the care coordination workflow.

Responsibilities

  • Maintain and improve 30-day readmission risk models across 32 health system clients
  • Retrain models on updated EHR and claims data incorporating new clinical features
  • Evaluate model performance across patient demographics, diagnoses, and hospital units
  • Implement bias monitoring ensuring equitable risk stratification across demographic groups
  • Build integration delivering risk scores to discharge planning and care coordination workflows
  • Conduct retrospective analysis validating model predictions against realized readmission outcomes

Requirements

  • 3+ years in healthcare data science or clinical ML
  • Strong Python, SQL, and scikit-learn skills with EHR or claims data experience
  • Understanding of hospital operations, readmission drivers, and care coordination workflows
  • Experience with health equity analysis and demographic parity evaluation
  • Familiarity with HIPAA and clinical data governance requirements

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 annual professional development budget
  • 401(k) with match
  • Work with direct patient outcome impact

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Categories

data science & analytics Automation & AI Workflows

Skills

python scikit-learn sql statistics pandas

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

data science & analytics Automation & AI Workflows

Skills

python scikit-learn sql statistics pandas spark

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