Improving the quality of EHR recording in primary care

A data quality feedback tool

S. van der Bij, Khan N., P. ten Veen, D.H. de Bakker, R.A. Verheij

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Objective:
Electronic health record (EHR) data are used to exchange information among health care providers. For this purpose, the quality of the data is essential. We developed a data quality feedback tool that evaluates differences in EHR data quality among practices and software packages as part of a larger intervention.
Methods:
The tool was applied in 92 practices in the Netherlands using different software packages. Practices received data quality feedback in 2010 and 2012.
Results:
We observed large differences in the quality of recording. For example, the percentage of episodes of care that had a meaningful diagnostic code ranged from 30% to 100%. Differences were highly related to the software package. A year after the first measurement, the quality of recording had improved significantly and differences decreased, with 67% of the physicians indicating that they had actively changed their recording habits based on the results of the first measurement. About 80% found the feedback helpful in pinpointing recording problems. One of the software vendors made changes in functionality as a result of the feedback.
Conclusions:
Our EHR data quality feedback tool is capable of highlighting differences among practices and software packages. As such, it also stimulates improvements. As substantial variability in recording is related to the software package, our study strengthens the evidence that data quality can be improved substantially by standardizing the functionalities of EHR software packages.
Original languageEnglish
Pages (from-to)81-87
JournalJournal of the American Medical Informatics Association
Volume24
Issue number1
DOIs
Publication statusPublished - 2017

Fingerprint

Electronic Health Records
Episode of Care
Data Accuracy
Health Personnel
Netherlands
Habits
Physicians

Cite this

van der Bij, S. ; N., Khan ; ten Veen, P. ; de Bakker, D.H. ; Verheij, R.A. / Improving the quality of EHR recording in primary care : A data quality feedback tool. In: Journal of the American Medical Informatics Association. 2017 ; Vol. 24, No. 1. pp. 81-87.
@article{235443b674e3412683ec1050222fd270,
title = "Improving the quality of EHR recording in primary care: A data quality feedback tool",
abstract = "Objective: Electronic health record (EHR) data are used to exchange information among health care providers. For this purpose, the quality of the data is essential. We developed a data quality feedback tool that evaluates differences in EHR data quality among practices and software packages as part of a larger intervention.Methods: The tool was applied in 92 practices in the Netherlands using different software packages. Practices received data quality feedback in 2010 and 2012.Results: We observed large differences in the quality of recording. For example, the percentage of episodes of care that had a meaningful diagnostic code ranged from 30{\%} to 100{\%}. Differences were highly related to the software package. A year after the first measurement, the quality of recording had improved significantly and differences decreased, with 67{\%} of the physicians indicating that they had actively changed their recording habits based on the results of the first measurement. About 80{\%} found the feedback helpful in pinpointing recording problems. One of the software vendors made changes in functionality as a result of the feedback.Conclusions: Our EHR data quality feedback tool is capable of highlighting differences among practices and software packages. As such, it also stimulates improvements. As substantial variability in recording is related to the software package, our study strengthens the evidence that data quality can be improved substantially by standardizing the functionalities of EHR software packages.",
author = "{van der Bij}, S. and Khan N. and {ten Veen}, P. and {de Bakker}, D.H. and R.A. Verheij",
year = "2017",
doi = "10.1093/jamia/ocw054",
language = "English",
volume = "24",
pages = "81--87",
journal = "Journal of the American Medical Informatics Association",
issn = "1067-5027",
publisher = "Oxford University Press",
number = "1",

}

Improving the quality of EHR recording in primary care : A data quality feedback tool. / van der Bij, S.; N., Khan; ten Veen, P.; de Bakker, D.H.; Verheij, R.A.

In: Journal of the American Medical Informatics Association, Vol. 24, No. 1, 2017, p. 81-87.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Improving the quality of EHR recording in primary care

T2 - A data quality feedback tool

AU - van der Bij, S.

AU - N., Khan

AU - ten Veen, P.

AU - de Bakker, D.H.

AU - Verheij, R.A.

PY - 2017

Y1 - 2017

N2 - Objective: Electronic health record (EHR) data are used to exchange information among health care providers. For this purpose, the quality of the data is essential. We developed a data quality feedback tool that evaluates differences in EHR data quality among practices and software packages as part of a larger intervention.Methods: The tool was applied in 92 practices in the Netherlands using different software packages. Practices received data quality feedback in 2010 and 2012.Results: We observed large differences in the quality of recording. For example, the percentage of episodes of care that had a meaningful diagnostic code ranged from 30% to 100%. Differences were highly related to the software package. A year after the first measurement, the quality of recording had improved significantly and differences decreased, with 67% of the physicians indicating that they had actively changed their recording habits based on the results of the first measurement. About 80% found the feedback helpful in pinpointing recording problems. One of the software vendors made changes in functionality as a result of the feedback.Conclusions: Our EHR data quality feedback tool is capable of highlighting differences among practices and software packages. As such, it also stimulates improvements. As substantial variability in recording is related to the software package, our study strengthens the evidence that data quality can be improved substantially by standardizing the functionalities of EHR software packages.

AB - Objective: Electronic health record (EHR) data are used to exchange information among health care providers. For this purpose, the quality of the data is essential. We developed a data quality feedback tool that evaluates differences in EHR data quality among practices and software packages as part of a larger intervention.Methods: The tool was applied in 92 practices in the Netherlands using different software packages. Practices received data quality feedback in 2010 and 2012.Results: We observed large differences in the quality of recording. For example, the percentage of episodes of care that had a meaningful diagnostic code ranged from 30% to 100%. Differences were highly related to the software package. A year after the first measurement, the quality of recording had improved significantly and differences decreased, with 67% of the physicians indicating that they had actively changed their recording habits based on the results of the first measurement. About 80% found the feedback helpful in pinpointing recording problems. One of the software vendors made changes in functionality as a result of the feedback.Conclusions: Our EHR data quality feedback tool is capable of highlighting differences among practices and software packages. As such, it also stimulates improvements. As substantial variability in recording is related to the software package, our study strengthens the evidence that data quality can be improved substantially by standardizing the functionalities of EHR software packages.

U2 - 10.1093/jamia/ocw054

DO - 10.1093/jamia/ocw054

M3 - Article

VL - 24

SP - 81

EP - 87

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

SN - 1067-5027

IS - 1

ER -