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Veterans engineering resource center: the DREAM project

Bennis, Rabab (2014) Veterans engineering resource center: the DREAM project. Master Essay, University of Pittsburgh.

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Abstract

Due to technological advances, data collected from direct healthcare delivery is growing by the day. The constantly growing data that was collected from various resources including patient visits, images, laboratory results and physician notes, though important, has no significance beyond its satisfying reporting and/or documentation requirements and potential application to specific clinical situations, mainly due to the voluminous and heterogeneous nature of the data. With this tremendous amount of data, manual extraction of information is expensive, time consuming, and subject to human error. Fortunately, information technologies have enabled the generation and collection of this data and also the efficient extraction of useful information. Currently, there is a broad spectrum of secondary uses of this clinical data including clinical and translational research, public health and policy analysis, and quality measurement and improvement. The following case study examines a pilot project undertaken by the Veterans Engineering Resource Center(VERC) to design a data mining software utility called Data Resource Engine & Analytical Model (DREAM).This software should be operable within the VA IT infrastructure and will allow providers to view aggregate patient data rapidly and accurately using electronic health records.


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Details

Item Type: Other Thesis, Dissertation, or Long Paper (Master Essay)
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Bennis, Rabab
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
Committee ChairRohrer, Wesleywmrun@pitt.eduWMRUNUNSPECIFIED
Committee MemberWatzlaf, Valerievalgeo@pitt.eduVALGEOUNSPECIFIED
Committee MemberMonte, RobertRobert.Monte@va.govUNSPECIFIEDUNSPECIFIED
Date: 21 April 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Publisher: University of Pittsburgh
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Health Policy & Management
Degree: MPH - Master of Public Health
Thesis Type: Master Essay
Refereed: Yes
Date Deposited: 11 Aug 2015 18:16
Last Modified: 01 Sep 2020 12:55
URI: http://d-scholarship.pitt.edu/id/eprint/21381

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