An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure

Yu Li Huang, Ankit Bansal, Bjorn Berg, Carrie Sanvick, Eric W. Klavetter, Gurpreet S. Sandhu, Kevin L. Greason

Research output: Contribution to journalArticlepeer-review

Abstract

The Transcatheter Aortic Valve Replacement (TAVR) procedure requires an initial consultation and a subsequent procedure by an interventionalist (IC) and surgeon. The IC-surgeon pair coordination is extremely challenging, especially at Mayo Clinic due to provider time commitments distributed across practice, research, and education activities. Current practice aims to establish the coordination manually, resulting in a scheduling process that is cumbersome and time consuming for the schedulers. We develop an algorithm for pairing ICs and surgeons that minimizes the lead time (days elapsed between the clinic consult and procedure). As compared to current practice, this algorithm is able to reduce average lead time by 59% and increase possible IC-surgeon pairs by 7%. The proposed algorithm is shown to be flexible enough to incorporate practice variations such as lead time upper bound and two procedure days for a single consult day. Algorithm alternatives are also presented for practices who may find the proposed algorithm infeasible for their practice.

Original languageEnglish (US)
Article number53
JournalJournal of Medical Systems
Volume45
Issue number4
DOIs
StatePublished - Mar 11 2021

Bibliographical note

Funding Information:
We thank the two anonymous reviewers for their constructive comments and suggestions in revising this work.

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • Lead time
  • Provider pairing
  • Resource coordination
  • TAVR procedure

PubMed: MeSH publication types

  • Journal Article

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