IMO Precision Normalize transforms unstructured data into standardized information to improve clinical insights, analytics, and interoperability.
Clinical documentation often includes abbreviations, misspellings, and shorthand, making it difficult to extract meaningful insights. Without standardization, this data remains fragmented and hard to analyze.
Patient information is recorded using different coding standards across healthcare systems which leads to discrepancies. These variations create challenges for data interoperability, analytics, and patient care.
Built on award-winning NLP that efficiently extracts clinical concepts from free text, IMO Precision Normalize seamlessly maps clinical entities and structured data to standard codes for more accurate, complete, and usable data.
Extracts clinical concepts from unstructured free text using named entity recognition.
Identifies and understands the presence, absence, or possibility of the clinical concept.
Uncovers connections between clinical concepts throughout the text.
Extracts time-related details associated with the identified clinical concepts.
Identifies sections within clinical narrative to add context and organization to extracted entities.
Comprehensively maps clinical concepts to IMO Health terms and all relevant standard codes.
Deploy as SaaS or integrate into your local or cloud environments via API to help extract and standardize clinical data at scale.
(AWS, Azure, GCP)
ICD-10-CM (default), ICD-9-CM, SNOMED CT®
CPT® (default), HCPCS, ICD-10-PCS, SNOMED CT, LOINC
RxNorm® (default), NDC, CVX
LOINC (default), CPT, HCPCS, ICD-10-PCS, SNOMED CT
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IMO Core
IMO Core Periop
IMO Core Procedure
IMO Precision Normalize
IMO Precision Sets