Abstract
The effectiveness, efficiency and reliability of health services depends on the quality of data in health information systems used by health care providers, managers and decision-makers. The aim of this research-in-progress paper is to propose a data quality framework, method and set of tools to help an information management team at a health care institution to monitor data quality as part of their business intelligence process. The proposed tool has the capacity to capture and visualise different stakeholder perceptions of data quality depending on the user role and the task they are responsible for. This study uses an action case method to develop a prototype of the tool and provide an illustration of its implementation and usage by multiple stakeholders.
| Language | English |
|---|---|
| Title of host publication | Proceedings of the IFIP DSS 2018 |
| Subtitle of host publication | 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems |
| Editors | Marko Bohanec, Martin Žnidaršič, Biljana Mileva Boshkoska, Frédéric Adam |
| Place of Publication | Abingdon UK |
| Publisher | Taylor & Francis |
| Pages | 144-154 |
| Number of pages | 11 |
| DOIs | |
| State | Published - 2018 |
| Event | IFIP International Conference on Decision Support Systems 2018 - Ljubljana, Slovenia Duration: 13 Jun 2018 → 15 Jun 2018 Conference number: 19th http://ifip2018dss.ijs.si/ |
Publication series
| Name | Journal of Decision Systems |
|---|---|
| Publisher | Taylor & Francis |
| No. | S1 |
| Volume | 27 |
| ISSN (Print) | 1246-0125 |
| ISSN (Electronic) | 2116-7052 |
Conference
| Conference | IFIP International Conference on Decision Support Systems 2018 |
|---|---|
| Abbreviated title | IFIP DSS 2018 |
| Country | Slovenia |
| City | Ljubljana |
| Period | 13/06/18 → 15/06/18 |
| Internet address |
Keywords
- action case
- business intelligence
- Data quality
- health care
Cite this
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A data quality framework, method and tools for managing data quality in a health care setting : an action case study. / Bai, Lu; Meredith, Rob; Burstein, Frada.
Proceedings of the IFIP DSS 2018: 19th Open Conference of the IFIP WG 8.3 on Decision Support Systems. ed. / Marko Bohanec; Martin Žnidaršič; Biljana Mileva Boshkoska; Frédéric Adam. Abingdon UK : Taylor & Francis, 2018. p. 144-154 (Journal of Decision Systems; Vol. 27, No. S1).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper
TY - GEN
T1 - A data quality framework, method and tools for managing data quality in a health care setting
T2 - an action case study
AU - Bai,Lu
AU - Meredith,Rob
AU - Burstein,Frada
PY - 2018
Y1 - 2018
N2 - The effectiveness, efficiency and reliability of health services depends on the quality of data in health information systems used by health care providers, managers and decision-makers. The aim of this research-in-progress paper is to propose a data quality framework, method and set of tools to help an information management team at a health care institution to monitor data quality as part of their business intelligence process. The proposed tool has the capacity to capture and visualise different stakeholder perceptions of data quality depending on the user role and the task they are responsible for. This study uses an action case method to develop a prototype of the tool and provide an illustration of its implementation and usage by multiple stakeholders.
AB - The effectiveness, efficiency and reliability of health services depends on the quality of data in health information systems used by health care providers, managers and decision-makers. The aim of this research-in-progress paper is to propose a data quality framework, method and set of tools to help an information management team at a health care institution to monitor data quality as part of their business intelligence process. The proposed tool has the capacity to capture and visualise different stakeholder perceptions of data quality depending on the user role and the task they are responsible for. This study uses an action case method to develop a prototype of the tool and provide an illustration of its implementation and usage by multiple stakeholders.
KW - action case
KW - business intelligence
KW - Data quality
KW - health care
UR - http://www.scopus.com/inward/record.url?scp=85045038215&partnerID=8YFLogxK
U2 - 10.1080/12460125.2018.1460161
DO - 10.1080/12460125.2018.1460161
M3 - Conference Paper
T3 - Journal of Decision Systems
SP - 144
EP - 154
BT - Proceedings of the IFIP DSS 2018
PB - Taylor & Francis
CY - Abingdon UK
ER -