Characterisation of data quality in electronic healthcare records

Dungey, Sheena, Beloff, Natalia, Williams, Rachael, Williams, Tim, Puri, Shivani and Tate, Rosemary (2015) Characterisation of data quality in electronic healthcare records. In: Briassouli, Alexia, Benois-Pineau, Jenny and Hauptmann, Alexander (eds.) Health monitoring and personalised feedback using multimedia data. Springer International Publishing. ISBN 9783319179629

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The use of electronic healthcare systems for recording patient treatment history is well established across the UK healthcare sector, the potential benefits of using such systems being numerous. Within the primary care setting, electronic healthcare records (EHR) can provide a near complete picture of patient care over time. This not only affords the opportunity to improve patient care directly through effective monitoring and identification of care requirements but also offers a unique platform for both clinical and service-model research [1] essential to the longer term development of the health service. The potential for using routinely collected patient records for research purposes has been steadily increasing [2] with recent advances and diminishing technical barriers in data storage and information processing. There are, however, significant challenges in using EHRs effectively in the research setting and in ensuring the quality of data recorded for this purpose. Incorrect or missing data can render records as useless or indeed misleading such that conclusions drawn from the data could have a negative impact. The aim of this chapter is to outline both the key challenges to the management and assessment of data quality in EHRs and the key considerations for meeting these challenges. The Clinical Practice Research Datalink database CPRD GOLD, globally recognised as being one of the largest and most detailed sources of electronic patient data, will be used as an example throughout. In Sect. 2, the concept of data quality is presented within the setting of primary care databases and a framework for its assessment is set out, based on findings of an investigation carried out on CPRD GOLD. In Sect. 3, the importance of understanding data quality of an individual source of data in relation to alternative sources, both intra- and inter-nationally, is examined, posing the emerging challenges to the future use EHRs for research. Finally Sect. 4 investigates data quality requirements from the perspective of a range of stakeholders through discussion of a day-long CPRD-led data quality workshop and we consider the way forward to a more comprehensive approach to tackling issues of data quality in EHRs.

Item Type: Book Section
Keywords: Electronic Health Records, Data Quality, Health Records Monitoring, Diabetes, Data Quality Algorithms
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0273 Probabilities. Mathematical statistics
R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics
R Medicine > RA Public aspects of medicine > RA0001 Medicine and the state. Including medical statistics, medical economics, provisions for medical care, medical sociology > RA0407 Health status indicators. Medical statistics and surveys
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Depositing User: Natalia Beloff
Date Deposited: 03 Jun 2015 07:35
Last Modified: 23 Jul 2020 08:35
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Project NameSussex Project NumberFunderFunder Ref
Methods to characterise and monitor data quality in the Clinical Practice Research DatalinkG1319Clinical Practice Research DatalinkUnset