Tanzania
Research Article
Aggregated Biomedical Information Browser (ABB): A Graphical User Interface for Clinicians and Scientists to Access a Clinical Data Warehouse
Author(s): Susan Maskery, Anthony Bekhash, Leonid Kvecher, Mick Correll, Jeffrey A Hooke, Albert J Kovatich, Craig D Shriver, Richard J Mural and Hai HuSusan Maskery, Anthony Bekhash, Leonid Kvecher, Mick Correll, Jeffrey A Hooke, Albert J Kovatich, Craig D Shriver, Richard J Mural and Hai Hu
Clinicians have unique insight into the diseases and medical conditions they treat, and may develop their own hypotheses they wish to explore by examining existing cases in a data warehouse. To facilitate manual data mining by clinicians and scientists, we have developed an interface for our clinical data warehouse, the Aggregated Biomedical-information Browser (ABB), based on OLAP (On-Line Analytical Processing) technology. The ABB enables clinicians, researchers, and other domain experts to quickly and intuitively explore data in our data warehouse, the Data Warehouse for Translational Research (DW4TR), without needing to involve informatics staff for data extraction. The ABB is capable of handling “on the fly” queries of any data element within the DW4TR. This functionality enables researchers to use their domain knowledge to connect dispara.. Read More»
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