Unknown

Dataset Information

Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard.


ABSTRACT:

Background

Anesthesiologists integrate numerous variables to determine an opioid dose that manages patient nociception and pain while minimizing adverse effects. Clinical dashboards that enable physicians to compare themselves to their peers can reduce unnecessary variation in patient care and improve outcomes. However, due to the complexity of anesthetic dosing decisions, comparative visualizations of opioid-use patterns are complicated by case-mix differences between providers.

Objectives

This single-institution case study describes the development of a pediatric anesthesia dashboard and demonstrates how advanced computational techniques can facilitate nuanced normalization techniques, enabling meaningful comparisons of complex clinical data.

Methods

We engaged peri

SUBMITTER: Safranek CW 

PROVIDER: S-EPMC8942721 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature