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

57 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1136/bmjopen-2012-002406

Cite this

@article{113c0e4c876b40d3aa758f33d2e7eea4,

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\}",

year = "2013",

doi = "10.1136/bmjopen-2012-002406",

language = "English",

volume = "3",

pages = "1 -- 8",

journal = "BMJ",

issn = "0959-535X",

publisher = "BMJ",

number = "5 (Art. ID: e002406",

}

TY - JOUR

T1 - Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study

AU - Hong, Matthew K

AU - Yao, Henry H I

AU - Pedersen, John S

AU - Peters, Justin S

AU - Costello, Anthony J

AU - Murphy, Declan

AU - Hovens, Christopher M

AU - Corcoran, Niall M

PY - 2013

Y1 - 2013

N2 - 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.

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.

UR - http://bmjopen.bmj.com/content/3/5/e002406.full.pdf+html

U2 - 10.1136/bmjopen-2012-002406

DO - 10.1136/bmjopen-2012-002406

M3 - Article

SN - 0959-535X

VL - 3

SP - 1

EP - 8

JO - BMJ

JF - BMJ

IS - 5 (Art. ID: e002406

ER -

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

Abstract

UN SDGs

Access to Document

Other files and links

Cite this