NDLI: Business intelligence in maternity care

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Business intelligence in maternity care

Content Provider	ACM Digital Library
Author	Pereira, Eliana Machado, José Abelha, António Portela, Carlos Filipe Brandão, Andreia Santos, Manuel Filipe
Abstract	The emergency services are usually pressured to make quick decisions with incomplete information on most cases, and this situation has a significant impact on healthcare as well on increasing medical errors. On the other hand, there has been an increase of the Electronic Health at Maternity Care. The combination of these two factors allows the construction of a Decision Support System specific for Maternity Care Unit using Business Intelligence technology. This solution is supported by a Data Warehouse, that uses the dimensional structure snowflake and makes the modeling of the maternity care database. With this solution it is intended to turn possible a clinical evidence-based practice, allowing for real time medical decision making with pervasive and interoperable characteristics. This paper presents the architecture, KPIs and benefits of Business Intelligence solution for the real context. This platform has several modules of clinical importance. The Obstetric Gynecological Emergency and the Voluntary Interruption of Pregnancy modules are object of study. This solution has an innovative contribution to the medical and scientific community studying the problem in Maternity area.
Starting Page	352
Ending Page	355
Page Count	4
File Format	PDF
ISBN	9781450326278
DOI	10.1145/2628194.2628248
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-07-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Emergency department Pervasive Real-time Business intelligence Intelligent decision support systems Manchester triage system Interoperability Data mining: triage
Content Type	Text
Resource Type	Article

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