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What Should Clinicians Know About How Coding Influences Epidemiological Research?
Jennifer Quint1, Alex Brownrigg2
1Professor of respiratory epidemiology in the School of Public Health at Imperial College London in England.
AMA Journal of Ethics
|January 2, 2025
Summary
Coded electronic health record (EHR) data supports research and policy. This review covers EHR data
Area of Science:
- Health Informatics
- Epidemiology
- Health Policy
Background:
- Coded health care data from patient records are crucial for epidemiological research, drug safety, and policy.
- Electronic health records (EHRs) generate vast amounts of coded data used across various health domains.
Purpose of the Study:
- To summarize the evolution of health care coding ontologies and nomenclature.
- To describe the applications of coded EHR data in healthcare operations, research, auditing, and policy.
- To identify potential errors in EHR data coding, their consequences, and mitigation strategies.
Main Methods:
- Literature review on the evolution of coding ontologies and nomenclature.
- Analysis of current applications of coded EHR data in healthcare.
- Discussion of error sources, consequences, and mitigation techniques in EHR data coding.
Main Results:
- Internationally recognized coding ontologies have evolved significantly.
- Coded EHR data has diverse applications, from daily operations to policy development.
- Errors in EHR coding can occur, impacting data integrity and downstream applications.
Conclusions:
- Understanding the evolution and application of coded EHR data is vital for effective healthcare.
- Strategies for error mitigation are essential to improve the reliability and utility of coded EHR data.
- Accurate coded EHR data supports robust research, informed policy, and improved patient care.
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