Development of a clinical data warehouse from an intensive care clinical information system

Mul, Marleen de; Alons, Peter; Velde, P. van der; Konings, Ilse; Bakker, Jan; Hazelzet, Jan A.

doi:10.1016/j.cmpb.2010.07.002

Cited by 46 publications

(22 citation statements)

References 20 publications

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“…This plea becomes even more relevant as we realize that the recent push for adoption of electronic health records is leading to a new infrastructure of data warehouses (8)(9)(10) where a resource like a local Virtual PICU will be available to each institution. As the Markov model example shows, answering questions about "patients like mine" using these infrastructures will take advanced methods.…”

Section: Referencesmentioning

confidence: 97%

Critical Care for Rare Diseases (and Procedures)

Fackler

Lehmann

Wetzel

2015

Pediatric Critical Care Medicine

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Section: Referencesmentioning

confidence: 97%

Critical Care for Rare Diseases (and Procedures)

Fackler

Lehmann

Wetzel

2015

Pediatric Critical Care Medicine

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“…A c c e p t e d M a n u s c r i p t 4 System [3], Automatic Diagnosis System [4], Diagnosis Support System [5], Clinical Information System [6], Medical-Record System [7] and hybrid intelligent system [8].…”

Section: Page 4 Of 43mentioning

confidence: 99%

A Swarm Optimization approach for clinical knowledge mining

Christopher¹,

Nehemiah²,

Kannan³

2015

Computer Methods and Programs in Biomedicine

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“…Because of the various care practices, data types and definitions, and the perceived incompleteness of clinical information systems, the development of a clinical data warehouse is a challenge [25]. The storage tier is composed of two components; firstly; DW as a storage repository.…”

Section: Data Storage Tiermentioning

confidence: 99%

“…Cleaning data required the step which invoiced first anomaly detection. Figure 3: Data Transformation Process [25] ETL is the process used to extract data from the source system such as the Magnetic resonance imaging (MRI), Pharmacy, Lab, or Imaging, for loading into the data warehouse. Often, when this data is extracted, it needs to be converted, re-mapped, or transformed in some way.…”

Section: B Extract Transform and Load (Etl)mentioning

confidence: 99%

An Integrated Business Intelligence Framework for Healthcare Analytics

Khedr

Kholeif

Saad³

2017

IJARCSSE

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Abstract-Business Intelligence (BI) is a set of tools, applications, and techniques used to help organizations taking the right actions and decisions. Analytics that consolidate lab information with finance, pharmacy, radiology, and other offices might assume a critical part in the vital arranging necessary should move forward those caliber from claiming mind Also diminish Generally speaking expenses. Using BI for enhancing the analytics of healthcare sector will help improve the results obtained from such systems. This paper proposes an integrated BI framework for healthcare analytics. This framework composed of six tiers; data source, Extract Transform and Load (ETL), Data storage, analytics, optimization, and presentation tier. Moreover; the paper presents an approach for the analytics tier that will provide better results regarding data analytics.

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Development of a clinical data warehouse from an intensive care clinical information system

Cited by 46 publications

References 20 publications

Critical Care for Rare Diseases (and Procedures)

Critical Care for Rare Diseases (and Procedures)

A Swarm Optimization approach for clinical knowledge mining

An Integrated Business Intelligence Framework for Healthcare Analytics

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