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Precision prevention in worksite health-A scoping review on research trends and gaps.

Filip MessSimon BlaschkeTeresa S SchickJulian Friedrich
Published in: PloS one (2024)
Although there is a growing number of precision prevention studies in the workplace, there are still research gaps in applying new data analysis methods (e.g., machine learning) and implementing innovative study designs. In the future, it is desirable to take a holistic approach to precision prevention in the workplace that encompasses all the stages of precision prevention (risk assessment/data monitoring, data analytics and interventions) and links them together as a cycle.
Keyphrases
  • data analysis
  • big data
  • machine learning
  • risk assessment
  • health promotion
  • public health
  • electronic health record
  • physical activity
  • artificial intelligence
  • human health
  • climate change
  • quality improvement