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IMO Precision Normalize

Extract, standardize, and enrich structured and free text clinical data with mapping to all standard codes.

Overview

IMO Precision Normalize is a healthcare data standardization solution built on award-winning natural language processing (NLP) technology. It extracts, standardizes, and enriches both structured and free-text clinical data, mapping it to all major standard coding systems. The platform is designed for health systems, analytics teams, and any organization that needs accurate, interoperable clinical data to support downstream use cases including care delivery, research, and regulatory compliance.

Clinical documentation is frequently recorded with abbreviations, misspellings, and shorthand, making it difficult to extract meaningful insights at scale. Patient information is also captured using different coding standards across healthcare systems, creating fragmentation and interoperability challenges. IMO Precision Normalize addresses both problems by transforming unstructured narratives and inconsistent structured data into standardized, codified, and analytically ready information.

Deep Understanding of Clinical Narratives

  • Extracts highly specific clinical concepts from unstructured free text, even when misspellings, abbreviations, and shorthand are present
  • Identifies and connects clinical concepts and relationships across related entities within the text
  • Detects contextual metadata including time orientation, negation, and body location
  • IMO Health's NLP experts fine-tune and customize the processing pipeline to best support individual organizational requirements

Automated Clinical Data Codification

  • Maps both structured and unstructured data to appropriate standard codes
  • Trained on a dictionary of five million clinical terms
  • Standardizes diagnosis, procedure, medication, and lab data from all major coding systems
  • Ensures specific and accurate coding to optimize downstream data use

Scaled Data Standardization

  • Processes up to 300,000 terms per minute
  • Seamless API integration through an intuitive developer portal
  • Flexible deployment options including IMO Health-hosted and self-hosted configurations
  • Intuitive interface allowing users to review, accept, and adjust mapped data as needed
  • Compliant with health system and regulatory requirements

How IMO Precision Normalize Works

  1. Comprehensive clinical concept extraction: Extracts clinical concepts from unstructured free text using named entity recognition
  2. Assertion status detection: Identifies and understands the presence, absence, or possibility of each clinical concept
  3. Relationship extraction: Uncovers connections between clinical concepts throughout the text
  4. Temporal information detection: Extracts time-related details associated with identified clinical concepts
  5. Section header detection: Identifies sections within clinical narratives to add context and organization to extracted entities
  6. Concept codification: Comprehensively maps clinical concepts to IMO Health terms and all relevant standard codes

Comprehensive Coding Coverage

  • Problem domain: ICD-10-CM, ICD-O-3, ICD-9-CM, SNOMED CT®, SNOMED CT® US Edition, MeSH, DSM-5-TR®
  • Procedure domain: CPT®, HCPCS, ICD-10-PCS, SNOMED CT®, MeSH, LOINC®
  • Medication domain: RxNorm®, NDC, CVX, MVX
  • Lab domain: LOINC®, CPT®, HCPCS, ICD-10-PCS, SNOMED CT®, MeSH

IMO Precision Normalize is available as a SaaS solution with both IMO Health-hosted and self-hosted deployment options, and integrates easily into existing workflows via API. The platform is built to meet health system and regulatory compliance requirements, making it suitable for enterprise-scale clinical data operations.

Meta

Domain
Clinical & Health Data Management
Subdomain
Clinical Terminology & Interoperability
Software type(s)
Integration / Middleware
Deployment type(s)
Hybrid
Industry vertical(s)
Academic / ResearchBiotechCRODiagnostics / IVDPharma
Development stage(s)
ClinicalPost-Market & RWE
Target user(s)
Bioinformatician / Computational ScientistClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAA
Tag(s)
Uses AI