The design and evaluation of a novel algorithm for automated preference card optimization.

ABSTRACT:

Background

Inaccurate surgical preference cards (supply lists) are associated with higher direct costs, waste, and delays. Numerous preference card improvement projects have relied on institution-specific, manual approaches of limited reproducibility. We developed and tested an algorithm to facilitate the first automated, informatics-based, fully reproducible approach.

Methods

The algorithm cross-references the supplies used in each procedure and listed on each preference card and uses a time-series regression to estimate the likelihood that each quantity listed on the preference card is inaccurate. Algorithm performance was evaluated by measuring changes in direct costs between preference cards revised with the algorithm and preference cards that were not revised or revised

SUBMITTER: Scheinker D 

PROVIDER: S-EPMC8661396 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature