Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease

Research output: Contribution to journalReview articlepeer-review

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 languageEnglish (US)
Pages (from-to)605-621
Number of pages17
JournalClinics in Chest Medicine
Volume41
Issue number4
DOIs
StatePublished - 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

Fingerprint

Dive into the research topics of 'Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease'. Together they form a unique fingerprint.

Cite this