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Related Experiment Video

Updated: Nov 14, 2025

Upper-extremity Approach for Secondary Access in Transfemoral Transcatheter Aortic Valve Implantation
06:04

Upper-extremity Approach for Secondary Access in Transfemoral Transcatheter Aortic Valve Implantation

Published on: August 8, 2025

352

An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure.

Yu-Li Huang1, Ankit Bansal2, Bjorn Berg3

  • 1Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, 55905, USA. huang.yuli@mayo.edu.

Journal of Medical Systems
|March 11, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an algorithm to optimize scheduling for Transcatheter Aortic Valve Replacement (TAVR) procedures. The new method significantly reduces patient wait times and increases the availability of interventionalist-surgeon pairs.

Keywords:
Lead timeProvider pairingResource coordinationTAVR procedure

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Area of Science:

  • Cardiovascular Surgery
  • Medical Informatics
  • Operations Research

Background:

  • Transcatheter Aortic Valve Replacement (TAVR) necessitates coordinated scheduling between interventionalists (IC) and surgeons.
  • Current manual scheduling practices are inefficient and time-consuming due to provider time constraints.
  • Optimizing IC-surgeon pairing is critical for improving TAVR workflow efficiency.

Purpose of the Study:

  • To develop and evaluate an algorithm for pairing interventionalists and surgeons in TAVR procedures.
  • To minimize the lead time between TAVR clinic consultation and the procedure date.
  • To enhance the efficiency and capacity of TAVR scheduling.

Main Methods:

  • Development of a novel algorithm for interventionalist-surgeon pairing.
  • Algorithm designed to minimize lead time (days between consultation and procedure).
  • Incorporation of flexibility for practice variations, including lead time bounds and multiple procedure days.

Main Results:

  • The proposed algorithm reduced average lead time by 59% compared to current practices.
  • The algorithm increased the number of possible interventionalist-surgeon pairs by 7%.
  • Demonstrated flexibility in accommodating specific practice constraints.

Conclusions:

  • The developed algorithm significantly improves TAVR scheduling efficiency by reducing lead times.
  • The algorithm enhances scheduling capacity and provider pair availability.
  • Offers adaptable solutions for diverse clinical practice settings.