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Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease.
Harber, Philip; Leroy, Gondy.
  • Harber P; Mel and Enid Zuckerman College of Public Health, University of Arizona, Medical Research Building, Room 112, 1656 East Mabel Steet, Tucson, AZ 85724, USA. Electronic address: pharber@arizona.edu.
  • Leroy G; Eller College of Management, University of Arizona, McClelland Hall, 1130 East Helen Street, Tucosn, AZ 85721, USA.
Clin Chest Med ; 41(4): 605-621, 2020 12.
Article in English | MEDLINE | ID: covidwho-896784
ABSTRACT
Computer and information systems can improve occupational respiratory disease prevention and surveillance by providing efficient resources for patients, workers, clinicians, and public health practitioners. Advances include interlinking electronic health records, autocoding surveillance data, clinical decision support systems, and social media applications for acquiring and disseminating information. Obstacles to advances include inflexible hierarchical coding schemes, inadequate occupational health electronic health record systems, and inadequate public focus on occupational respiratory disease. Potentially transformative approaches include machine learning, natural language processing, and improved ontologies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Occupational Exposure / Informatics / Lung Diseases / Occupational Diseases Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Clin Chest Med Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Occupational Exposure / Informatics / Lung Diseases / Occupational Diseases Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Clin Chest Med Year: 2020 Document Type: Article