TY - JOUR
T1 - Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease
AU - Harber, Philip I
AU - Leroy, Gondy
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Asthma
KW - Computer systems
KW - Informatics
KW - Machine learning
KW - Natural language processing
KW - Occupational health surveillance
KW - Occupational lung disease
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=85094970049&partnerID=8YFLogxK
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U2 - 10.1016/j.ccm.2020.08.008
DO - 10.1016/j.ccm.2020.08.008
M3 - Review article
C2 - 33153682
AN - SCOPUS:85094970049
SN - 0272-5231
VL - 41
SP - 605
EP - 621
JO - Clinics in Chest Medicine
JF - Clinics in Chest Medicine
IS - 4
ER -