J Biomed Inform - Modular design, application architecture, and usage of a self-service model for enterprise data delivery: the Duke Enterprise Data Unified Content Explorer (DEDUCE).

Tópicos

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Resumo

RPOSE: Data generated in the care of patients are widely used to support clinical research and quality improvement, which has hastened the development of self-service query tools. User interface design for such tools, execution of query activity, and underlying application architecture have not been widely reported, and existing tools reflect a wide heterogeneity of methods and technical frameworks. We describe the design, application architecture, and use of a self-service model for enterprise data delivery within Duke Medicine.METHODS: Our query platform, the Duke Enterprise Data Unified Content Explorer (DEDUCE), supports enhanced data exploration, cohort identification, and data extraction from our enterprise data warehouse (EDW) using a series of modular environments that interact with a central keystone module, Cohort Manager (CM). A data-driven application architecture is implemented through three components: an application data dictionary, the concept of "smart dimensions", and dynamically-generated user interfaces.RESULTS: DEDUCE CM allows flexible hierarchies of EDW queries within a grid-like workspace. A cohort "join" functionality allows switching between filters based on criteria occurring within or across patient encounters. To date, 674 users have been trained and activated in DEDUCE, and logon activity shows a steady increase, with variability between months. A comparison of filter conditions and export criteria shows that these activities have different patterns of usage across subject areas.CONCLUSIONS: Organizations with sophisticated EDWs may find that users benefit from development of advanced query functionality, complimentary to the user interfaces and infrastructure used in other well-published models. Driven by its EDW context, the DEDUCE application architecture was also designed to be responsive to source data and to allow modification through alterations in metadata rather than programming, allowing an agile response to source system changes.

Resumo Limpo

rpose data generat care patient wide use support clinic research qualiti improv hasten develop selfservic queri tool user interfac design tool execut queri activ under applic architectur wide report exist tool reflect wide heterogen method technic framework describ design applic architectur use selfservic model enterpris data deliveri within duke medicinemethod queri platform duke enterpris data unifi content explor deduc support enhanc data explor cohort identif data extract enterpris data warehous edw use seri modular environ interact central keyston modul cohort manag cm datadriven applic architectur implement three compon applic data dictionari concept smart dimens dynamicallygener user interfacesresult deduc cm allow flexibl hierarchi edw queri within gridlik workspac cohort join function allow switch filter base criteria occur within across patient encount date user train activ deduc logon activ show steadi increas variabl month comparison filter condit export criteria show activ differ pattern usag across subject areasconclus organ sophist edw may find user benefit develop advanc queri function complimentari user interfac infrastructur use wellpublish model driven edw context deduc applic architectur also design respons sourc data allow modif alter metadata rather program allow agil respons sourc system chang

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