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Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard.

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A new pediatric anesthesia dashboard uses machine learning to normalize opioid use data, allowing anesthesiologists to compare their practices and reduce variations in patient care. This tool helps identify outliers and supports continuous improvement in pain management.

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Area of Science:

  • Anesthesiology and Pain Management
  • Health Informatics and Data Science
  • Pediatric Healthcare

Background:

  • Anesthesiologists manage complex patient variables for optimal opioid dosing, balancing pain relief with adverse effects.
  • Clinical dashboards can reduce practice variation but struggle with complex case-mix differences in opioid use.
  • Visualizing opioid use patterns requires sophisticated methods to account for patient and surgical complexities.

Purpose of the Study:

  • To develop a pediatric anesthesia dashboard for visualizing and comparing opioid utilization.
  • To demonstrate advanced computational techniques for normalizing complex clinical data.
  • To facilitate meaningful comparisons of opioid use among providers by adjusting for case-mix.

Main Methods:

  • Engaged perioperative stakeholders to define relevant variables and user requirements for an opioid visualization tool.
  • Extracted, aggregated, and standardized case data from a tertiary care pediatric hospital.
  • Employed multivariable machine learning for variable identification and integrated findings into an interactive, normalized dashboard.

Main Results:

  • The dashboard utilizes interactive data filtration and machine-learning-based normalization for rigorous opioid utilization monitoring.
  • Case-mix adjustment enabled meaningful comparisons of opioid use across 24,332 surgical cases.
  • The tool successfully identified high and low opioid-use outliers linked to clinical outcomes.

Conclusions:

  • An interactive dashboard provides anesthesiologists with timely, case-mix-adjusted data on opioid administration practices.
  • Such tools empower physicians to track variations, initiate discussions, and drive continuous improvement in opioid management.
  • Clinical analytics dashboards motivate behavioral changes, reduce practice variation, and minimize adverse effects associated with high-impact medications.