Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data

Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data

Background: Patient health information is collected routinely in electronic health records (EHRs) and used for research purposes, however, many health conditions are known to be under-diagnosed or under-recorded in EHRs. In research, missing diagnoses result in under-ascertainment of true cases, whi...

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Bibliographic Details
Main Authors: Elizabeth Ford, Philip Rooney, Peter Hurley, Seb Oliver, Stephen Bremner, Jackie Cassell
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Public Health
Subjects:
electronic health records
patient data
data quality
missing data
Bayesian analysis
methodology
Online Access:https://www.frontiersin.org/article/10.3389/fpubh.2020.00054/full

Internet

https://www.frontiersin.org/article/10.3389/fpubh.2020.00054/full

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