Discharge Summary Agent
Convert medical discharges into structured ICD-10 datasets
Description
Challenge:
Hospital discharge summaries are often multi-page, non-standardized, and may mix English, Bahasa, or other languages. Manual abstraction is time-consuming, prone to errors, and causes delays in claims adjudication, medical underwriting, and compliance reporting. Missing or inconsistent diagnosis coding increases operational risk, slows downstream workflows, and complicates audit and regulatory requirements.
How It Works:
The Discharge Summary Agent ingests scanned or PDF discharge summaries and applies OCR, layout-free extraction, and NLP to locate all fields regardless of section or page order. English and Bahasa content is preserved while other languages are translated into English. It captures patient demographics, encounter dates, clinical notes, reason for encounter, treatments, tests, procedures, surgeries (mapped to surgeon_group and surgeon_code via vector search), and attending physicians. Diagnoses are separated into primary and secondary, mapped to the most specific ICD-10 codes, and missing mandatory fields are flagged for review. The agent outputs a strict snake_case JSON with audit logs, date normalization, and full compliance tracking.
Benefits:
Achieves 90–95% accuracy on heterogeneous discharge summary formats
ICD-10 sub-category coding reaches 90%+ accuracy
Reduces manual abstraction time by 50–70%
Enforces 100% mandatory field validation and date normalization
Speeds downstream adjudication by 30–45%
Ensures audit-ready, structured, and compliant discharge datasets
Resources
Features
The Discharge Summary Agent standardizes multi-page, multi-language discharge summaries, delivering structured, codified, and audit-ready outputs for seamless integration into claims, underwriting, and clinical review processes.
Features & Capabilities:
Document Ingestion & OCR: Processes PDFs/images with deskewing, denoising, and orientation normalization
Multi-Language Handling: Preserves English/Bahasa text; translates other languages to English
Layout-Free Extraction: Detects field labels across any page/section; handles non-template formats
Clinical Normalization: Expands abbreviations and corrects OCR artifacts using medical dictionaries
Diagnosis Pipeline: Extracts primary and secondary diagnoses; maps to ICD-10 with descriptions
Surgery Mapping: Expands abbreviations and maps surgeries to surgeon_group and surgeon_code via vector search
Validation & Compliance: Enforces mandatory-field rules, standardizes dates, flags missing items for review
Structured Output: Emits strict snake_case JSON per schema, including audit trail and page-level provenance
Operating Blueprint
Knowledge Sources:
Discharge summaries, inpatient and outpatient clinical notes
ICD-10 code repository and classifications
Multilingual medical dictionaries and clinical normalization lexicons
Internal mandatory-field matrix and validation rules
Business Rules:
Mandatory Field Rule: Ensure key patient, hospital, encounter, and attending physician details are captured; flag missing fields.
Diagnosis Rule: Separate primary/secondary diagnoses; map to ICD-10 sub-categories; leave blank if unclear.
Surgery Mapping Rule: Expand abbreviations, map surgeries via vector search; assign null if not found.
Date Standardization Rule: Output all dates as DD/MM/YY or DD/MM/YYYY based on detected year length.
Null/Empty Policy: Empty or unreadable fields → """"; unmapped surgery attributes → null.
Non-Template Extraction Rule: Search across all pages/sections; do not assume field locations,
Tool Workflow:
Preprocess uploaded documents; deskew, denoise, OCR all pages
Preserve English/Bahasa; translate other languages to English
Extract all core fields including patient, clinician, encounter, tests, treatments, diagnoses, surgeries
Normalize clinical text and expand abbreviations
Map diagnoses to ICD-10 and surgeries to surgeon codes
Validate mandatory fields and standardize dates
Output strict snake_case JSON with audit logs for compliance
Forward structured data for claims, underwriting, clinical review, and analytics
Badges
Classification
