Peer-Reviewed Publication
J Am Med Inform Assoc2021;28(6):1088-1097.June 12, 2021Journal Article
The design and evaluation of a novel algorithm for automated preference card optimization.
David Scheinker1,2,3, Matt Hollingsworth4,5, Anna Brody4,5, Carey Phelps1, William Bryant6, Francesca Pei3, Kristin Petersen3, Alekhya Reddy5,7, James Wall3,8
1Department of Management Science and Engineering, Stanford School of Engineering, Stanford University, Stanford, California, USA.
2Clinical Excellence Research Center, Stanford School of Medicine, California, USA.
3Lucile Packard Children's Hospital Stanford, Stanford University, Stanford, California, USA.
4Graduate School of Business, Stanford University, Stanford, California, USA.
5Carta Healthcare Inc., San Mateo, California, USA.
6Montefiore Medical Center, Bronx, New York, USA.
7Massachusetts Institute of Technology, Cambridge, Massachusett, USA.
8Department of Surgery, Stanford University School of Medicine, Stanford, California, USA.
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 cro…
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