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Standardizing electronic health record diagnoses to SNOMED-CT via ICD codes results in significant data loss. Direct mapping from Intelligent Medical Objects (IMO) to SNOMED-CT preserves diagnostic detail better than indirect methods.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Medical Terminology Standardization

Background:

  • Electronic Health Records (EHRs) utilize interface terminologies like Intelligent Medical Objects (IMO) for diagnosis coding.
  • Standardizing local EHR codes to universal terminologies (SNOMED-CT, ICD) is crucial for research data consistency.
  • Current standardization methods may compromise diagnostic fidelity.

Purpose of the Study:

  • To evaluate the performance of Extract-Transform-Load (ETL) standardization methods for EHR diagnosis codes.
  • To compare direct mapping from IMO to SNOMED-CT versus indirect mapping through ICD codes.
  • To assess the impact of different standardization pathways on diagnostic granularity and laterality.

Main Methods:

  • Examined ETL standardization performance using direct IMO-to-SNOMED-CT mapping.
  • Assessed indirect standardization via IMO-to-ICD (ICD-9-CM, ICD-10-CM) followed by UMLS-to-SNOMED-CT mapping.
  • Quantified the concordance of SNOMED-CT codes generated by direct versus indirect pathways.

Main Results:

  • Only 24-27% of diagnosis codes mapped to the same SNOMED-CT code using indirect ICD pathways compared to direct IMO-SNOMED mapping.
  • Significant loss of diagnostic granularity was observed with indirect standardization methods.
  • Differences in mapping resulted in a loss of laterality information in the standardized diagnoses.

Conclusions:

  • Direct mapping from IMO to SNOMED-CT is superior for preserving diagnostic information compared to indirect standardization via ICD codes.
  • Current indirect standardization processes introduce significant data fidelity loss, impacting research accuracy.
  • Optimized standardization strategies are needed to maintain diagnostic detail in EHR data exchange.