Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease - 04/11/20

Doi : 10.1016/j.ccm.2020.08.008

Philip Harber, MD, MPH ^a,^⁎ , Gondy Leroy, PhD ^b
^a Mel and Enid Zuckerman College of Public Health, University of Arizona, Medical Research Building, Room 112, 1656 East Mabel Steet, Tucson, AZ 85724, USA
^b Eller College of Management, University of Arizona, McClelland Hall, 1130 East Helen Street, Tucosn, AZ 85721, USA

^∗Corresponding author.

Resumen

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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Keywords : Occupational lung disease, Asthma, Informatics, Computer systems, Occupational health surveillance, Natural language processing, Machine learning, Ontology