Abstract
Poor data quality prevents the analysis of data for decisions which are critical for business. It also has a negative impact on business processes. Nevertheless the maturity level of data quality-And master data management is still insufficient in many organizations nowadays. This article discusses the corresponding maturity of companies and a management cycle integrating data quality-And master data management in a case dealing with benchmarking in hospitals. In conclusion if data quality and master data are not properly managed, structured data should not be acquired in the first place due to the added expense and complexity.
| Originalsprache | Englisch |
|---|---|
| Titel | Health Informatics Meets eHealth |
| Untertitel | Digital Insight - Information-Driven Health and Care - Proceedings of the 11th eHealth 2017 Conference |
| Redakteure/-innen | Dieter Hayn, Gunter Schreier |
| Herausgeber (Verlag) | IOS Press Amsterdam |
| Seiten | 259-266 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781614997580 |
| ISBN (Print) | 978-1-61499-758-0 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2017 |
| Veranstaltung | eHealth 2017 - Wien, Österreich Dauer: 23 Mai 2017 → 24 Mai 2017 http://www.eHealth2017.at |
Publikationsreihe
| Name | Studies in Health Technology and Informatics |
|---|---|
| Band | 236 |
| ISSN (Print) | 0926-9630 |
| ISSN (elektronisch) | 1879-8365 |
Konferenz
| Konferenz | eHealth 2017 |
|---|---|
| Land/Gebiet | Österreich |
| Ort | Wien |
| Zeitraum | 23.05.2017 → 24.05.2017 |
| Internetadresse |
Schlagwörter
- Data governance
- Data management
- Data quality
- Hospital
- Master data management