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Machine-learning based routing of callers in an Israeli mental health hotline.

Akiva KleinermanAriel RosenfeldHanan Rosemarin
Published in: Israel journal of health policy research (2022)
The proposed routing policy has the potential to significantly improve the performance of mental health contact centers, especially in peak hours. Leveraging artificial intelligence techniques, such as machine learning algorithms, combined with real-world data can bring about a significant and necessary leap forward in the way mental health hotlines operate and consequently reduce the burden of mental illnesses on health systems. However, implementation and evaluation in an operational contact center is necessary in order to verify that the results replicate in practice.
Keyphrases
  • mental health
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • healthcare
  • mental illness
  • primary care
  • quality improvement
  • electronic health record
  • risk assessment
  • risk factors
  • climate change