Mapping ICD-10 to SNOMED CT in Swedish Primary Health Care
Author Information
Author(s): Anna Vikström, Ylva Skånér, Lars-Erik Strender, Gunnar H Nilsson
Primary Institution: Karolinska Institutet
Hypothesis
What level of intercoder reliability can be reached using a manual mapping process when mapping a subset of ICD-10 to SNOMED CT?
Conclusion
Mapping from ICD-10-categories to SNOMED CT needs clear and extensive rules, and high intercoder reliability can be achieved, but obstacles remain.
Supporting Evidence
- Intercoder reliability reached 83%.
- New mapping rules significantly improved results.
- Obstacles to high quality mapping were identified in both coding systems.
Takeaway
This study looked at how to match health care codes from one system to another and found that clear rules help people agree on the matches.
Methodology
Two coders independently mapped ICD-10 categories to SNOMED CT concepts, developing rules and measuring intercoder reliability across three sequences.
Potential Biases
Potential human errors and structural/content factors in coding systems could affect the results.
Limitations
The study relied on a manual mapping process, which may lead to low recall and translation issues.
Participant Demographics
Two coders: one primary health care physician and one health informatician.
Statistical Information
P-Value
0.001
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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