Nothing Special   »   [go: up one dir, main page]
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: David Hickey 1 ; Rita O. Connor 1 ; Pauline McCormack 1 ; Peter Kearney 1 ; Roosa Rosti 1 and Rob Brennan 2 ; 1

Affiliations: 1 School of Computing, Dublin City University, Dublin, Ireland ; 2 ADAPT Centre, Dublin City University, Dublin, Ireland

Keyword(s): Data Governance, Data Quality, Healthcare, Data Management.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 65.254.225.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hickey, D.; Connor, R.; McCormack, P.; Kearney, P.; Rosti, R. and Brennan, R. (2021). The Data Quality Index: Improving Data Quality in Irish Healthcare Records. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 625-636. DOI: 10.5220/0010441906250636

@conference{iceis21,
author={David Hickey. and Rita O. Connor. and Pauline McCormack. and Peter Kearney. and Roosa Rosti. and Rob Brennan.},
title={The Data Quality Index: Improving Data Quality in Irish Healthcare Records},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={625-636},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010441906250636},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - The Data Quality Index: Improving Data Quality in Irish Healthcare Records
SN - 978-989-758-509-8
IS - 2184-4992
AU - Hickey, D.
AU - Connor, R.
AU - McCormack, P.
AU - Kearney, P.
AU - Rosti, R.
AU - Brennan, R.
PY - 2021
SP - 625
EP - 636
DO - 10.5220/0010441906250636
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

<style> #socialicons>a span { top: 0px; left: -100%; -webkit-transition: all 0.3s ease; -moz-transition: all 0.3s ease-in-out; -o-transition: all 0.3s ease-in-out; -ms-transition: all 0.3s ease-in-out; transition: all 0.3s ease-in-out;} #socialicons>ahover div{left: 0px;} </style>