Prevalence estimation by joint use of big data and health survey: a demonstration study using electronic health records in New York city

Prevalence estimation by joint use of big data and health survey: a demonstration study using electronic health records in New York city

Abstract Background Electronic Health Records (EHR) has been increasingly used as a tool to monitor population health. However, subject-level errors in the records can yield biased estimates of health indicators. There is an urgent need for methods to estimate the prevalence of health indicators usi...

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Bibliographic Details
Main Authors: Ryung S. Kim, Viswanathan Shankar
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Research Methodology
Subjects:
Big data
Electronic health records
Multiple imputations
Measurement error
Selection bias
Population health surveillance
Online Access:http://link.springer.com/article/10.1186/s12874-020-00956-6

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http://link.springer.com/article/10.1186/s12874-020-00956-6

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