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Integration Toolkit for Eliminating Double Data Entry

Award Information
Agency: Department of Health and Human Services
Branch: Centers for Disease Control and Prevention
Contract: 200-2013-M-57523
Agency Tracking Number: 200-2013-M-57523
Amount: $145,860.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2013
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
765 Teaneck Rd., Suite 1L
Teaneck, NJ 07666-
United States
DUNS: 617625046
HUBZone Owned: Unavailable
Woman Owned: Unavailable
Socially and Economically Disadvantaged: Unavailable
Principal Investigator
 William Greenberg
 (917) 589-8021
 bgreenberg@hdox.com
Business Contact
 Julio  Lopez
Research Institution
N/A
Abstract

Registries offer an important way to collect uniform data with a view toward understanding the etiology of diseases, and to improving their treatment. A major constraint in establishing registries is the cost of data acquisition, especially when not available from existing sources. The CDC SB EMR is a tool for collecting data on SB patients when they first visit a clinic and in each subsequent year. An ever-increasing number of hospitals and clinics are installing an electronic medical record (EMR) system. Non-integration of these separate systems poses a significant challenge for SB clinics: the requirement of double-enter data. One solution to this problem is to develop software that can extract data from EMR and legacy medical record software, and transport it to the CDC SB EMR for transmission to CDC for analysis. Such extraction software may facilitate additional SB clinics participation in the NBSPR. Further, given our approach of first developing a framework for extraction software, the same technology can be applied to build other registries. The existence of a generic EMR/legacy system extraction tool would permit improving the efficiency and effectiveness of other public health reporting systems, such as those of state and local health departments, by reducing the need for data entry and improving the accuracy of reported data.

* Information listed above is at the time of submission. *

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