A longitudinal analysis of data quality in a large pediatric data research network | Zendy

Ritu Khare | Zendy; Levon Utidjian | Zendy; Byron Ruth | Zendy; Michael G. Kahn | Zendy; Evanette Burrows | Zendy; Keith Marsolo | Zendy; Nandan Patibandla | Zendy; Hanieh Razzaghi | Zendy; Ryan Colvin | Zendy; Daksha Ranade | Zendy; Melody Kitzmiller | Zendy; Daniel Eckrich | Zendy; L. Charles Bailey | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A longitudinal analysis of data quality in a large pediatric data research network

Author(s) -

Ritu Khare,

Levon Utidjian,

Byron Ruth,

Michael G. Kahn,

Evanette Burrows,

Keith Marsolo,

Nandan Patibandla,

Hanieh Razzaghi,

Ryan Colvin,

Daksha Ranade,

Melody Kitzmiller,

Daniel Eckrich,

L. Charles Bailey

Publication year - 2017

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocx033

Subject(s) - longitudinal data , computer science , quality (philosophy) , data quality , data science , data mining , operations management , engineering , metric (unit) , philosophy , epistemology

PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record data from multiple children's hospitals to enable large-scale research. Assessing data quality to ensure suitability for conducting research is a key requirement in PEDSnet. This study presents a range of data quality issues identified over a period of 18 months and interprets them to evaluate the research capacity of PEDSnet.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research