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A pragmatic approach for measuring data quality in primary care databases

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conference contribution
posted on 2023-06-08, 18:03 authored by Sheena Dungey, Natalia BeloffNatalia Beloff, Shivani Puri, Rachael Boggon, Tim Williams, A Rosemary Tate
There is currently no widely recognised methodology for undertaking data quality assessment in electronic health records used for research. In an attempt to address this, we have developed a protocol for measuring and monitoring data quality in primary care research databases, whereby practice-based data quality measures are tailored to the intended use of the data. Our approach was informed by an in-depth investigation of aspects of data quality in the Clinical Practice Research Datalink Gold database and presentations of the results to data users. Although based on a primary care database, much of our proposed approach would be equally applicable to other health care databases.

Funding

Harnessing Large & Diverse Sources of Data (with Linguamatics Ltd); G0283; TECHNOLOGY STRATEGY BOARD; 3968-33139

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

ISSN

2168-2194

Publisher

IEEE

Page range

797-800

Event name

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Event location

Valencia, Spain

Event type

conference

Event date

1-4 June, 2014

ISBN

978-1-4799-2131-7

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • No

Legacy Posted Date

2014-09-17

First Open Access (FOA) Date

2014-09-17

First Compliant Deposit (FCD) Date

2014-09-17

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