Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical data warehouses are complex and time consuming to review a series of patient records however it is one of the efficient data repository existing to deliver quality patient care. Data integration tasks of medical data store are challenging scenarios when designing clinical data warehouse architecture. The presented data warehouse architectures are practicable solutions to tackle data integration issues and could be adopted by small to large clinical data warehouse applications
Modern businesses use a great number of different computer systems to manage their daily business pr...
[[abstract]]The continuous quality improvement has become a trend in the contemporary medical societ...
Organon is conducting a data warehouse project that aims to make drug development data more easily a...
Data warehousing methodologies share a common set of tasks, including business requirements analysis...
Clinical databases have gathered a huge amount of information about patients and their medical condi...
Abstract In this article we present the concept of data warehousing, and its use in the clinical are...
Heterogeneous health data is a critical issue when managing health information for quality decision ...
Heterogeneous health data is a critical issue when managing health information for quality decision ...
tools to acquiring information and systematically analysis large amount of data stored in heterogene...
The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together...
Organizing and managing the database relations in term of data warehouse technology has been address...
Health informatics is currently one of the top focuses of computer science researchers. Availability...
Data warehousing is an innovative database concept dedicated to solving the demands of decision supp...
[[abstract]]Data warehousing is an innovative database concept dedicated to solving the demands of d...
The continuous quality improvement has become a trend in the contemporary medical society, and that ...
Modern businesses use a great number of different computer systems to manage their daily business pr...
[[abstract]]The continuous quality improvement has become a trend in the contemporary medical societ...
Organon is conducting a data warehouse project that aims to make drug development data more easily a...
Data warehousing methodologies share a common set of tasks, including business requirements analysis...
Clinical databases have gathered a huge amount of information about patients and their medical condi...
Abstract In this article we present the concept of data warehousing, and its use in the clinical are...
Heterogeneous health data is a critical issue when managing health information for quality decision ...
Heterogeneous health data is a critical issue when managing health information for quality decision ...
tools to acquiring information and systematically analysis large amount of data stored in heterogene...
The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together...
Organizing and managing the database relations in term of data warehouse technology has been address...
Health informatics is currently one of the top focuses of computer science researchers. Availability...
Data warehousing is an innovative database concept dedicated to solving the demands of decision supp...
[[abstract]]Data warehousing is an innovative database concept dedicated to solving the demands of d...
The continuous quality improvement has become a trend in the contemporary medical society, and that ...
Modern businesses use a great number of different computer systems to manage their daily business pr...
[[abstract]]The continuous quality improvement has become a trend in the contemporary medical societ...
Organon is conducting a data warehouse project that aims to make drug development data more easily a...