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Risk Adjustment of ICD-10-CM Coded Potential Inpatient Complications Using Administrative Data.

Michael KorvinkLaura H GunnGerman MolinaTracy HayesEsther SelvesMichael DuanJohn Martin
Published in: Medical care (2023)
The proposed method provides a consistent quality metric that adjusts for the population's case mix. Age-specific risk stratification further addresses currently ignored heterogeneity in PIC prevalence across age groups. Finally, the proposed aggregation method identifies large PIC-specific deviations between observed and expected counts, flagging areas with a potential need for quality improvements.
Keyphrases
  • risk factors
  • quality improvement
  • mental health
  • human health
  • palliative care
  • genome wide
  • single cell
  • machine learning
  • climate change
  • peripheral blood
  • gene expression
  • artificial intelligence
  • deep learning