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Missing data in emergency care: a pitfall in the interpretation of analysis and research based on electronic patient records

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journal contribution
posted on 2025-02-04, 14:25 authored by Timothy CoatsTimothy Coats, Evgeny MirkesEvgeny Mirkes
Electronic patient records (EPRs) are potentially valuable sources of data for service development or research but often contain large amounts of missing data. Using complete case analysis or imputation of missing data seem like simple solutions, and are increasingly easy to perform in software packages, but can easily distort data and give misleading results if used without an understanding of missingness. So, knowing about patterns of missingness, and when to get expert data science (data engineering and analytics) help, will be a fundamental future skill for emergency physicians. This will maximise the good and minimise the harm of the easy availability of large patient datasets created by the introduction of EPRs.

History

Author affiliation

College of Life Sciences College of Science & Engineering Cardiovascular Sciences Comp' & Math' Sciences

Version

  • AM (Accepted Manuscript)

Published in

Emergency Medicine Journal

Volume

41

Issue

9

Pagination

563 - 566

Publisher

BMJ

issn

1472-0205

eissn

1472-0213

Copyright date

2024

Available date

2025-02-04

Spatial coverage

England

Language

en

Deposited by

Professor Tim Coats

Deposit date

2025-01-25

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