Combining population-based administrative health records and electronic medical records for disease surveillance
Abstract Background Administrative health records (AHRs) and electronic medical records (EMRs) are two key sources of population-based data for disease surveillance, but misclassification errors in the data can bias disease estimates. Methods that combine information from error-prone data sources ca...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-07-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-019-0845-5 |