AI Discharge Summary Quality Auditor

Lamion Solutions

Hybrid · $130k – $160k / year · Full-time · Posted 4 months ago

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About the role

Hospital discharge summaries are the handoff document between inpatient and outpatient care. A well-written discharge summary gives the patient's PCP everything they need to continue care continuity: the admission diagnosis, what was done, what changed in the medication regimen, pending test results, follow-up instructions, and red flags for readmission. An incomplete or inaccurate discharge summary is a care continuity gap that correlates with preventable readmissions. We serve 28 health systems with clinical NLP capabilities. Discharge summary quality auditing is a new capability our clients need: automatic detection of incomplete discharge summaries before they leave the hospital — missing pending results documentation, medication reconciliation gaps, absent follow-up instructions — so clinicians can complete them before discharge rather than being notified of the gap after the patient is home. You'll build the discharge summary quality audit system: NLP models that extract documented information categories from discharge summaries, completeness checking against clinical quality standards, and risk-stratified alerting that surfaces the highest-risk documentation gaps to the care team. The role is hybrid — 2 days per week in NYC for clinical collaborator engagement.

Responsibilities

Build NLP models extracting documented care information categories from discharge summary text
Implement completeness checking comparing documented sections against clinical quality standards
Develop risk-stratified alerting surfacing highest-risk documentation gaps to care teams before discharge
Handle clinical documentation variability across physician writing styles and specialty-specific formats
Create quality metrics tracking discharge summary completeness rates across hospital units and physicians
Validate model outputs against physician quality review assessments as ground truth

Requirements

6+ years in clinical NLP, healthcare data science, or health informatics engineering
Deep understanding of clinical documentation standards and discharge summary requirements
Strong Python and LLM-based clinical text processing skills
Experience with EHR data, HIPAA requirements, and clinical workflow integration
Ability to collaborate with physicians and nursing staff on clinical quality requirements