An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure.
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 p...
| Publicado en: | Journal of Medical Systems Vol. 45; no. 4; pp. 1 - 10 |
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| Autores principales: | , , , , , , |
| Formato: | algorithm computer program tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149631224&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149631224 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Apr2021 vid: 45 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 149631224 149631224 149631224 10.1007/s10916-021-01722-x 149631224 ppf: 1 ppct: 9 formats: fmt: @attributes: type: P tig: atl: An Algorithm for Pairing Interventionalists and Surgeons for the TAVR Procedure. aug: au: Huang, Yu-Li Bansal, Ankit Berg, Bjorn Sanvick, Carrie Klavetter, Eric W. Sandhu, Gurpreet S. Greason, Kevin L. affil: Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 55905, Rochester, MN, USA sug: subj: Aortic Valve Surgery Cardiac Surgery Methods Algorithms Time Management Treatment Duration Operating Room Information Systems Utilization Human Appointments and Schedules Joint Practice Clinical Effectiveness Health Services Accessibility Quality Improvement ab: 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. pubtype: Academic Journal doctype: algorithm computer program tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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