Data Quality- and Master Data Management, a Hospital Case

Klaus Arthofer, Dominic Girardi

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationHealth Informatics Meets eHealth
Subtitle of host publicationDigital Insight - Information-Driven Health and Care - Proceedings of the 11th eHealth 2017 Conference
EditorsDieter Hayn, Gunter Schreier
PublisherIOS Press Amsterdam
Pages259-266
Number of pages8
ISBN (Electronic)9781614997580
ISBN (Print)978-1-61499-758-0
DOIs
Publication statusPublished - 2017
EventeHealth 2017 - Wien, Austria
Duration: 23 May 201724 May 2017
http://www.eHealth2017.at

Publication series

NameStudies in Health Technology and Informatics
Volume236
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceeHealth 2017
Country/TerritoryAustria
CityWien
Period23.05.201724.05.2017
Internet address

Keywords

  • Data governance
  • Data management
  • Data quality
  • Hospital
  • Master data management

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