{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:16:06Z","timestamp":1760242566164,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T00:00:00Z","timestamp":1510272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>Public health surveillance of communicable diseases depends on timely, complete, accurate, and useful data that are collected across a number of healthcare and public health systems. Health Information Exchanges (HIEs) which support electronic sharing of data and information between health care organizations are recognized as a source of \u2018big data\u2019 in healthcare and have the potential to provide public health with a single stream of data collated across disparate systems and sources. However, given these data are not collected specifically to meet public health objectives, it is unknown whether a public health agency\u2019s (PHA\u2019s) secondary use of the data is supportive of or presents additional barriers to meeting disease reporting and surveillance needs. To explore this issue, we conducted an assessment of big data that is available to a PHA\u2014laboratory test results and clinician-generated notifiable condition report data\u2014through its participation in a HIE.<\/jats:p>","DOI":"10.3390\/informatics4040039","type":"journal-article","created":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T11:12:26Z","timestamp":1510312346000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Big Data in the Era of Health Information Exchanges: Challenges and Opportunities for Public Health"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1974-8196","authenticated-orcid":false,"given":"Janet","family":"Baseman","sequence":"first","affiliation":[{"name":"Department of Epidemiology, University of Washington, Seattle, WA 98105, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3863-7774","authenticated-orcid":false,"given":"Debra","family":"Revere","sequence":"additional","affiliation":[{"name":"Department of Health Services, University of Washington, Seattle, WA 98105, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"Painter","sequence":"additional","affiliation":[{"name":"Department of Health Services, University of Washington, Seattle, WA 98105, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/455001a","article-title":"Community cleverness required","volume":"455","author":"Miller","year":"2008","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e38","DOI":"10.2196\/medinform.5359","article-title":"Challenges and opportunities of big data in health care: A systematic review","volume":"4","author":"Kruse","year":"2016","journal-title":"JMIR Med. 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