2018
DOI: 10.5210/ojphi.v10i1.8370
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Integrating data from disparate data systems for improved HIV reporting: Lessons learned

Abstract: Objective: To assess the integration process of HIV data from disparate sources for reporting HIV prevention metrics in Scott County, IndianaIntroduction: In 2015, the Indiana State Department of Health (ISDH) responded to a large HIV outbreak among persons who inject drugs (PWID) in Scott County1. Information to manage the public health response to this event and its aftermath included data from multiple sources such as surveillance, HIV testing, contact tracing, medical care, and HIV prevention activities. E… Show more

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Cited by 3 publications
(2 citation statements)
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“…Interoperability of information systems and electronic tools for surveillance purposes helps to ensure timely detection and response to disease epidemics. Integration of information systems may follow these steps: Data integration process, establishing a central database for data repository and dashboard, standardization of data formats and setting a threshold for each case [17,44,45]. Such integration allows detection of abnormality once the number of reported cases or syndromes exceed the threshold and send alerts to the respective authorities for actions.…”
Section: Discussionmentioning
confidence: 99%
“…Interoperability of information systems and electronic tools for surveillance purposes helps to ensure timely detection and response to disease epidemics. Integration of information systems may follow these steps: Data integration process, establishing a central database for data repository and dashboard, standardization of data formats and setting a threshold for each case [17,44,45]. Such integration allows detection of abnormality once the number of reported cases or syndromes exceed the threshold and send alerts to the respective authorities for actions.…”
Section: Discussionmentioning
confidence: 99%
“…After an initial assessment phase, an in-depth analysis of requirements resulted in several design principles and lessons learned that later translated into standardization of data formats and design of the data integration process [2].…”
Section: Introductionmentioning
confidence: 99%