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Blind Spots: Spatial analytics can identify nonrandom geographic variation in first episode psychosis program enrollments.

Walter S MathisScott W WoodsVinod H Srihari
Published in: Early intervention in psychiatry (2018)
Findings of nonrandom spatial variation in program enrollment is valuable data for those evaluating the impact of and implementing improvements for recruitment to specialty clinics serving geographically-defined catchments. Positive findings from this preliminary study warrant further development of the predictive model as well as measurement of the impact on enrollment from recruitment interventions driven by these findings.
Keyphrases
  • quality improvement
  • big data
  • health insurance
  • primary care
  • physical activity
  • electronic health record
  • data analysis
  • deep learning