2018
DOI: 10.1097/phh.0000000000000625
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An Assessment of Information Exchange Practices, Challenges, and Opportunities to Support US Disease Surveillance in 3 States

Abstract: State and local public health agencies collect and use surveillance data to identify outbreaks, track cases, investigate causes, and implement measures to protect the public’s health. We sought to better understand current practices at state and local public health agencies for collecting, managing, processing, reporting, and exchanging notifiable disease surveillance information. Over an 18-month period (January 2014-June 2015), we evaluated the process of data exchange between surveillance systems, reporting… Show more

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Cited by 10 publications
(8 citation statements)
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“…This investigation resulted in identification of system level problems and potential solutions. Although informatics assessments have been conducted on macrolevels for infectious disease [39] and surveillance evaluations performed for Guinea worm disease [4,20,40], our approach is novel in that we assessed the information system from the surveillance need, data management, and data use perspectives for Guinea worm disease. The framework we used here could be adapted by other programs looking to assess their information systems to support surveillance and programmatic needs.…”
Section: Discussionmentioning
confidence: 99%
“…This investigation resulted in identification of system level problems and potential solutions. Although informatics assessments have been conducted on macrolevels for infectious disease [39] and surveillance evaluations performed for Guinea worm disease [4,20,40], our approach is novel in that we assessed the information system from the surveillance need, data management, and data use perspectives for Guinea worm disease. The framework we used here could be adapted by other programs looking to assess their information systems to support surveillance and programmatic needs.…”
Section: Discussionmentioning
confidence: 99%
“…Building an information system according to the system development life cycle (SDLC) methodology will promote its integrity and enterprise practicality. Data consistency and coordination is the first significant phase in the information system SDLC and should be achieved in compliance with an appropriate plan [ 20 , 21 ]. Therefore, in the initial phase of our study, the minimum data set (MDS) of suicidal behaviors was developed to determine system data requirements.…”
Section: Introductionmentioning
confidence: 99%
“…Before the implementation of the CeGIDDs, the surveillance systems were based on the sentinel networks for bacterial STI and the mandatory notification for HIV and HBV infections [ 22 - 24 ]. However, their representativeness, sensitivity, timeliness, and flexibility remained challenges even after several decades [ 22 - 26 ]. Indeed, these surveillance systems provided a reliable information at the national level but these indicators could neither describe accurately the epidemics at a lower level, nor give a relevant insight about the CeGIDD users by subregions [ 12 , 27 ].…”
Section: Introductionmentioning
confidence: 99%