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Identifying Routine Surge for Poison Control Telephone Response Systems.

, , , , , , and . Nursing Informatics, volume 146 of Studies in Health Technology and Informatics, page 811. IOS Press, (2009)

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Building Knowledge for Poison Control: The Novel Pairing of Communication Analysis with Data Mining Methods., , , , and . Nursing Informatics, volume 146 of Studies in Health Technology and Informatics, page 207-213. IOS Press, (2009)Descriptive Analysis of Communication Patterns Between a Local Poison Control Center and Community Emergency Departments., , , , , and . ICHI, page 574. IEEE Computer Society, (2017)Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control., , , , , , , and . Appl. Clin. Inform., 09 (03): 553-557 (2018)Requirements Analysis for HL7 Message Development in Poison Control Center., , , , , and . Nursing Informatics, volume 146 of Studies in Health Technology and Informatics, page 758-759. IOS Press, (2009)Information Requirements for Health Information Exchange Supported Communication between Emergency Departments and Poison Control Centers., , , , , and . AMIA, AMIA, (2014)Patient Identity Matching for Health Information Exchange between Poison Control Centers and Emergency Departments., , , , , , and . AMIA, AMIA, (2016)Reference Website Use Patterns of Poison Control Center Specialists., , , and . ICHI, page 453. IEEE Computer Society, (2017)Building a Knowledge Base for Health Information Exchange between Emergency Departments and Poison Control Centers., , and . HICSS, page 910-914. IEEE Computer Society, (2012)Identifying Routine Surge for Poison Control Telephone Response Systems., , , , , , and . Nursing Informatics, volume 146 of Studies in Health Technology and Informatics, page 811. IOS Press, (2009)Enabling health information exchange at a US Poison Control Center., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 27 (7): 1000-1006 (2020)