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.
| Original 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 | |
| Publication status | 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 |
| Number | S1 |
| Volume | 27 |
| ISSN (Print) | 1246-0125 |
| ISSN (Electronic) | 2116-7052 |
Conference
| Conference | IFIP International Conference on Decision Support Systems 2018 |
|---|---|
| Abbreviated title | DSS 2018 |
| Country/Territory | Slovenia |
| City | Ljubljana |
| Period | 13/06/18 → 15/06/18 |
| Internet address |
Keywords
- action case
- business intelligence
- Data quality
- health care
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