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

• Published in: BMC medical research methodology Vol. 20; no. 1; pp. 77 - 10
• Main Authors: Kim, Ryung S., Shankar, Viswanathan
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 06.04.2020; BioMed Central; BMC
• Subjects: Bias; Big Data; Electronic health records; Electronic records; Estimates; Health surveillance; Health surveys; Immunization; Influenza; Measurement error; Medical records; Medical research; Multiple imputations; Population health surveillance; Primary care; Public health; Research methodology; Sample variance; Selection bias; Software; Victimization; United States; Selection bias; Population health surveillance; Big data; Multiple imputations; Electronic health records; Measurement error

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 using large and real-ti...