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Clinicians and coders are different: Examples of disparities in primary care coding
Jennifer H Garvin1, Mark G Weiner
1University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Administrative database bias is a concern, as physician and professional coder agreement on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes is zero percent. This highlights significant discrepancies in patient encounter coding.
Area of Science:
- Health Informatics
- Medical Coding
- Database Bias
Background:
- Administrative databases are increasingly used for healthcare research.
- Traditionally, coding professionals assigned International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.
- Physicians are increasingly assigning ICD-9-CM codes for primary care visits.
Purpose of the Study:
- To compare ICD-9-CM codes assigned by physicians and professional coders.
- To identify causes for discrepancies in medical coding.
- To discuss the implications of coding bias on research.
Main Methods:
- Four patient cases were selected for analysis.
- Codes were assigned independently by a physician and a professional coder.
- A comparative analysis of assigned ICD-9-CM codes was performed.
Main Results:
- There was zero percent agreement between the physician and professional coder on the absolute ICD-9-CM codes assigned.
- Significant differences were observed in the coding of patient encounters.
- Potential sources of bias in administrative data coding were identified.
Conclusions:
- Discrepancies in ICD-9-CM coding between physicians and professional coders are substantial.
- Coding bias in administrative databases can impact research validity.
- Further investigation into coding practices and standardization is warranted.
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