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The data quality index: improving data quality in Irish healthcare records

Hickey, David orcid logoORCID: 0000-0002-9999-5583, O'Connor, Rita, McCormack, Pauline, Kearney, Peter, Rosti, Roosa and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2021) The data quality index: improving data quality in Irish healthcare records. In: 24th International Conference Enterprise Information Systems (ICEIS '21), 26-28 Apr 2021, Online.

Abstract
This paper describes the Data Quality Index (DQI), a new data quality governance method to improve data quality in both paper and electronic healthcare records. This is an important use case as digital transformation is a slow process in healthcare and hybrid systems exist in many countries such as Ireland. First a baseline study of the nature and extent of data quality issues in Irish healthcare records was conducted. The DQI model and tools were then developed, based on established data quality and data governance principles. Evaluation of the model and tools showed a significant improvement in data quality was achieved in a healthcare setting. This initial evaluation of the model was against paper healthcare records, but the model can also be used as part of an electronic healthcare record system.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Data Governance; Data Quality; Healthcare; Data Management
Subjects:Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: 24th International Conference Enterprise Information Systems (ICEIS '21), Proceedings. . ICEIS.
Publisher:ICEIS
Official URL:https://www.insticc.org/node/TechnicalProgram/icei...
Copyright Information:© 2021 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:25798
Deposited On:23 Apr 2021 12:15 by Vidatum Academic . Last Modified 04 Nov 2021 14:06
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