Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study

Matthew K Hong; Henry H I Yao; John S Pedersen; Justin S Peters; Anthony J Costello; Declan Murphy; Christopher M Hovens; Niall M Corcoran

doi:10.1136/bmjopen-2012-002406

Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study

Matthew K Hong, Henry H I Yao, John S Pedersen, Justin S Peters, Anthony J Costello, Declan Murphy, Christopher M Hovens, Niall M Corcoran

Epidemiology and Preventive Medicine Alfred Hospital

Research output: Contribution to journal › Article › Research › peer-review

26 Citations (Scopus)

Abstract

Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributable to the source data.

Original language	English
Pages (from-to)	1 - 8
Number of pages	8
Journal	BMJ
Volume	3
Issue number	5 (Art. ID: e002406
DOIs	https://doi.org/10.1136/bmjopen-2012-002406
Publication status	Published - 2013

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10.1136/bmjopen-2012-002406

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Cite this

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title = "Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study",

abstract = "Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributable to the source data.",

author = "Hong, {Matthew K} and Yao, {Henry H I} and Pedersen, {John S} and Peters, {Justin S} and Costello, {Anthony J} and Declan Murphy and Hovens, {Christopher M} and Corcoran, {Niall M}",

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Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study. / Hong, Matthew K; Yao, Henry H I; Pedersen, John S; Peters, Justin S; Costello, Anthony J; Murphy, Declan; Hovens, Christopher M; Corcoran, Niall M.

In: BMJ, Vol. 3, No. 5 (Art. ID: e002406, 2013, p. 1 - 8.

Research output: Contribution to journal › Article › Research › peer-review

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AU - Hong, Matthew K

AU - Yao, Henry H I

AU - Pedersen, John S

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AU - Costello, Anthony J

AU - Murphy, Declan

AU - Hovens, Christopher M

AU - Corcoran, Niall M

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AB - Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributable to the source data.

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