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Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses' role in population health management.

Alvin D JefferySharon HewnerLisiane PruinelliDeborah LekanMikyoung LeeGrace GaoLaura HolbrookMartha Sylvia
Published in: JAMIA open (2019)
More emphasis on including nonbilling data and providing holistic perspectives of individuals is needed in RPSMs. Nursing-generated data could be beneficial in addressing this gap, as they are structured, frequently generated, and tend to focus on key health status elements like functional status and social/behavioral determinants of health.
Keyphrases
  • mental health
  • healthcare
  • electronic health record
  • big data
  • public health
  • deep learning
  • case report
  • machine learning
  • risk assessment
  • quality improvement
  • data analysis