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Related Experiment Video

Updated: Jan 25, 2026

Improved Home Blood Pressure Control by CT-guided Ozone-mediated Renal Denervation for Patients with Resistant Hypertension
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Using SNOMED CT-encoded problems to improve ICD-10-CM coding-A randomized controlled experiment.

Kin Wah Fung1, Julia Xu1, S Trent Rosenbloom2

  • 1National Library of Medicine, Bethesda, MD, United States.

International Journal of Medical Informatics
|April 29, 2019
PubMed
Summary
This summary is machine-generated.

Map-assisted coding using the NLM Map significantly reduced the time for manual ICD-10-CM coding. While reliability and accuracy saw minor improvements, further enhancements to the map are needed for optimal performance.

Keywords:
Administrative codesCoding qualityICD-10-CMInter-terminology mappingSNOMED CT

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Area of Science:

  • Medical Informatics
  • Health Information Management
  • Clinical Coding

Background:

  • Electronic Health Records (EHRs) contain clinical problems encoded in SNOMED CT.
  • Translating SNOMED CT codes to ICD-10-CM is crucial for billing and reporting.
  • The National Library of Medicine (NLM) developed a map for this translation.

Purpose of the Study:

  • To evaluate the benefits of using the NLM's SNOMED CT to ICD-10-CM map for assisting manual coding.
  • To assess the impact of map-assisted coding on coding time, reliability, and accuracy.

Main Methods:

  • Professional coders used either usual coding or map-assisted coding on de-identified clinical notes.
  • Map-assisted coding utilized the physician's problem list and the NLM Map to suggest ICD-10-CM codes.
  • A gold standard was established via a Delphi consensus process to measure outcomes.

Main Results:

  • Map-assisted coding reduced average coding time by 1.5 minutes per note (p=0.006).
  • Coding reliability and accuracy showed small, non-statistically significant increases.
  • Benefits were more pronounced in experienced coders; map failures were mainly due to omissions or suboptimal mapping.

Conclusions:

  • Map-assisted coding offers a potential to decrease coding time and enhance reliability and accuracy, particularly for experienced coders.
  • Further development is required to improve the accuracy of NLM Map-suggested ICD-10-CM codes.