Analyses of Agricultural Injury Data from Administrative Databases
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2019/08/07
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By Scott E
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Description:Purpose, Uses, Users: Create a passive surveillance system that uses existing administrative data; Pre-hospital Care Reports (PCR); Hospital Data; Develop a method to identify cases by taking advantage of free text; Ideally system will employ machine learning to enhance speed and reduce cost; Users include NEC, stakeholders, trainers, etc. The following are key findings of the project: Identification of previously unfound cases (about 2/3 of AFF cases from PCRs); Occupational information; Pre and post injury details; Not limited by existing variables; Data from free text can put hospital data in context; Not limited to occupational injury: Opioids. [Description provided by NIOSH]
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Pages in Document:1-22
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NIOSHTIC Number:nn:20061556
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Citation:Western Agriculture Safety and Health Conference - Cultivating Collaborations, August 7-9, 2019, Seattle, Washington. Seattle, WA: Pacific Northwest Agricultural Safety and Health Center (PNASH), 2019 Aug; :1-22
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Contact Point Address:Erika Scott, PhD, Northeast Center for Occupational Health and Safety in Agriculture, Forestry, Fishing, Mary Imogene Bassett Hospital, Cooperstown, NY
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Email:Erika.scott@bassett.org
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Federal Fiscal Year:2019
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Performing Organization:Mary Imogene Bassett Hospital, Cooperstown, New York
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Peer Reviewed:False
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Start Date:20010930
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Source Full Name:Western Agriculture Safety and Health Conference - Cultivating Collaborations, August 7-9, 2019, Seattle, Washington
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End Date:20270831
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Main Document Checksum:urn:sha-512:d31df4a9b09577b62b9369ef320ece78e8cf06c6cc9942470b47abce0af7da2c58f1ed4edb9ae9ce9c29d8dbf26b55d837f5523fd760c2cc323fe0985d22298d
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