DIAL: A Platform for real-time Laboratory Surveillance
Author(s) -
Shamir Mukhi,
Jennifer MayHadford,
Sabrina S. Plitt,
Jutta K. Preiksaitis,
Bonita E. Lee
Publication year - 2010
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v2i3.3041
Subject(s) - computer science , data science , domain (mathematical analysis) , data management , data integration , database , data mining , world wide web , mathematics , mathematical analysis
Laboratory information systems fulfill many of the requirements for individual result management within a public health laboratory. However, access to the systems by data users, timely data extraction, integration, and data analysis are difficult tasks. These difficulties are further complicated by often having multiple laboratory results for specific analytes or related analytes per specimen tested as part of complex laboratory algorithms requiring specialized expertise for result interpretation. We describe DIAL, (Data Integration for Alberta Laboratories), a platform allowing laboratory data to be extracted, interpreted, collated and analyzed in near real-time using secure web based technology, which is adapted from CNPHI's Canadian Early Warning System (CEWS) technology. The development of DIAL represents a major technical advancement in the public health information management domain, building capacity for laboratory based surveillance.
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