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Supporting health insurance expansion: do electronic health records have valid insurance verification and enrollment data?

Authors :
Christine C. Nelson
Jennifer E. DeVoe
Megan Hoopes
Rachel Gold
Heather Angier
Jean P. O'Malley
Erika Cottrell
John Heintzman
Steffani R. Bailey
Miguel Marino
Source :
Journal of the American Medical Informatics Association. 22:909-913
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

Objective To validate electronic health record (EHR) insurance information for low-income pediatric patients at Oregon community health centers (CHCs), compared to reimbursement data and Medicaid coverage data.Materials and Methods Subjects Children visiting any of 96 CHCs (N = 69 189) from 2011 to 2012. Analysis The authors measured correspondence (whether or not the visit was covered by Medicaid) between EHR coverage data and (i) reimbursement data and (ii) coverage data from Medicaid.Results Compared to reimbursement data and Medicaid coverage data, EHR coverage data had high agreement (87% and 95%, respectively), sensitivity (0.97 and 0.96), positive predictive value (0.88 and 0.98), but lower kappa statistics (0.32 and 0.49), specificity (0.27 and 0.60), and negative predictive value (0.66 and 0.45). These varied among clinics.Discussion/Conclusions EHR coverage data for children had a high overall correspondence with Medicaid data and reimbursement data, suggesting that in some systems EHR data could be utilized to promote insurance stability in their patients. Future work should attempt to replicate these analyses in other settings.

Details

ISSN :
1527974X and 10675027
Volume :
22
Database :
OpenAIRE
Journal :
Journal of the American Medical Informatics Association
Accession number :
edsair.doi.dedup.....2490c397a0b7ea00719ca47dc948a802
Full Text :
https://doi.org/10.1093/jamia/ocv033