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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 605-621 |
| Number of pages | 17 |
| Journal | Clinics in Chest Medicine |
| Volume | 41 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2020 |
Keywords
- Asthma
- Computer systems
- Informatics
- Machine learning
- Natural language processing
- Occupational health surveillance
- Occupational lung disease
- Ontology
ASJC Scopus subject areas
- Pulmonary and Respiratory Medicine
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