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Computer-prompted diagnostic codes
K S Yarnall1, J L Michener, W E Broadhead
1Department of Community and Family Medicine, Duke University Medical Center, Durham, NC 27710.
The Journal of Family Practice
|March 1, 1995
Summary
A new computer system improved medical diagnosis coding accuracy by translating physician notes into International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. This system enhanced problem list maintenance and coding efficiency in outpatient settings.
Area of Science:
- Medical Informatics
- Health Information Systems
- Clinical Documentation Improvement
Background:
- Physician diagnosis coding is crucial for medical records and billing.
- Manual coding processes can be time-consuming and prone to errors.
- Maintaining accurate, up-to-date patient problem lists is essential for continuity of care.
Purpose of the Study:
- To develop a computer system for translating physician-diagnosed conditions into ICD-9-CM codes.
- To evaluate the system's effectiveness in improving coding accuracy and problem list management.
- To streamline the outpatient medical diagnosis coding process.
Main Methods:
- A computerized dictionary linking diagnoses, synonyms, and abbreviations to ICD-9-CM codes was created.
- Physicians used natural language or selected diagnoses from a computer-generated list post-intervention.
- Coding accuracy was compared before and after system implementation, assessing matched diagnoses, omissions, and commissions.
Main Results:
- Overall coding accuracy increased significantly from 62% to 82% (P < .001).
- Visits with complete diagnosis matching rose from 58% to 76% (P < .001).
- Errors of omission and commission decreased substantially with system use.
Conclusions:
- Computerized systems with practice-specific diagnosis dictionaries enhance ICD-9-CM coding accuracy and simplify the process.
- The system effectively generates accurate patient problem lists reflecting clinical documentation.
- This technology offers a valuable tool for improving outpatient coding efficiency and quality.