IMO Precision Normalize

IMO’s deep expertise in clinical data is grounded in terminology used by over 740,000 US physicians during point-of-care documentation. IMO Precision Normalize leverages this foundation to efficiently standardize inconsistent clinical data from diverse systems into consistent, structured, clinically validated terminology that is comprehensively mapped to standard code systems behind the scenes. IMO Precision Normalize helps organizations across the health IT ecosystem to enrich clinical data, accelerate data readiness for analytics, and power accurate insights.

Features

1. Industry-leading clinical terminology: Every IMO solution starts with a foundation of the definitive source of clinical terminology, managing the complexity of 5.0 million clinical terms with current and comprehensive mappings to all major global coding systems:
-- Problem/Diagnosis: ICD-9-CM, ICD-10-CM, SNOMED CT®
-- Procedure: CPT®, ICD-10-PCS, HCPCS, LOINC, SNOMED CT®
-- Medication: RxNorm, NDC

2. Robust normalization engine: The engine that drives IMO Precision Normalize is capable of processing up to 300,000 terms per minute across diagnosis, procedure, medication, and laboratory data domains. By comparing input data to IMO’s clinically-vetted, highly specific, and propriety terminology, the engine accurately matches most terms with a high degree of confidence to minimize manual review.

3. Description and code-based matching: Client supplied clinical descriptions or codes pertaining to problems, diagnoses, procedures and labs, and medications are matched to IMO terms. The engine’s matching algorithms can account for both exact and fuzzy matches of descriptions.

4. API or Bulk endpoint deployment: IMO’s solution can be deployed in several ways, including a one-time run to clean up a legacy data mart, or via a near real-time API interaction to ensure that data is immediately correct throughout an organization’s systems.

5. Auto domain resolution: In cases where the domain (problem, procedure, or medication) of a description is unknown, the engine can attempt to automatically detect a term’s domain and match it appropriately.

6. Data review tools: Map manager UI enables simple and flexible review of matches by domain, volume of use, and confidence score. Enables accelerated localization, remapping, and follow-up normalization operations.

Improve clinical data quality – at scale

1. Enrich clinical data: Built on a dictionary of 5 million terms and comprehensive mapping to all appropriate standard code systems behind the scenes

2. Accelerate data review: Increase the accuracy of normalized data with an intuitive interface to review, accept, and adjust matched data as needed

3. Reduce maintenance burden: IMO content is updated 6 times a year to be compliant with health system and regulatory requirements

4. Increase data specificity: Foundational terminology is curated by clinical SMEs, increasing the accuracy and specificity of terms and codes

Expected workflow:
-- Request access to this listing and an IMO representative will reach out
-- Work with the IMO team to create an account and agreement
-- Once the agreement is finalized, configure the Snowflake connector
-- Use Snowpipe to extract from internal or external stage and write to Snowflake staging table
-- Create a function or task to extract from staging table and write to Target table

搜集汇总

背景与挑战

背景概述

IMO Precision Normalize 是一个临床数据标准化工具，利用覆盖740,000多名美国医生的专业术语库，将不一致的临床数据高效转化为结构化、经过验证的术语，并映射到标准编码系统。它通过强大的归一化引擎和多种部署方式，帮助医疗IT组织提升数据质量、加速分析准备，并支持精准洞察。