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  1. Proceedings of the on SIGMOD/PODS 2012 PhD Symposium (PhD '12)
  2. Data quality and integration in collaborative environments
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Getting your acceptance rate to 80%: a checklist for publishing
Towards an extensible efficient event processing kernel
Data quality and integration in collaborative environments
Foundational aspects of semantic web optimization
High performance spatial query processing for large scale scientific data
Clustering techniques for open relation extraction
Linking records in dynamic world
Holistic indexing: offline, online and adaptive indexing in the same kernel
RecDB: towards DBMS support for online recommender systems
An adaptive event stream processing environment
Foundations of regular expressions in XML schema languages and SPARQL
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
Efficient optimization and processing for distributed monitoring and control applications

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Data quality and integration in collaborative environments

Content Provider ACM Digital Library
Author Endler, Gregor
Abstract The trend to merge medical practices into cooperatively operating networks and organizational units like Medical Supply Centers generates new challenges for an adequate IT support. In particular, new use cases for common economic planning, controlling and treatment coordination arise. This requires consolidation of data originating from heterogeneous and autonomous software systems. Heterogeneity and autonomy are core reasons for low data quality. The intuitive approach of initially integrating heterogeneous systems into a federated system creates a very high upfront effort before the system can become operable and does not adequately consider the fact that data quality requirements might change over time. To remedy this, we propose an approach for continuous data quality improvement which enables a demand driven step by step system integration. By adapting the generic Total Data Quality Management process to healthcare specific use cases, we are developing an extended model for continuous data quality management in cooperative healthcare settings. The IT tools which are needed to provide the information that drives this process are currently in development within a government supported project involving both industry and academia.
Ending Page 26
Page Count 6
Starting Page 21
File Format PDF
ISBN 9781450313261
DOI 10.1145/2213598.2213606
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-05-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Data quality management Demand-driven improvement Co-operative healthcare delivery
Content Type Text
Resource Type Article
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