Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 30_suppl ( 2018-10-20), p. 123-123
    Kurzfassung: 123 Background: Many factors contribute to long wait times for oncology patients on the day of their infusion appointment. At Dana-Farber Cancer Institute (DFCI), one of the main causes of delay to infusion start is providers not signing medication orders in advance of patients checking in for their infusion appointment. We conducted a project to improve provider order signing behavior on the gynecology cancer patient infusion floor at DFCI. Methods: A data working group was formed which consisted of the infusion floor medical leads, nurse lead, pharmacy lead, and analytics and process improvement leads. Starting in February 2018, the working group shared baseline order signing data from September 2017 through January 2018 with the Gynecology Cancer Group. Descriptive and timestamp data from Epic were extracted and cleaned via Tableau to analyze the percentage of non-investigational medication orders, including chemotherapy, that were signed after a patient checked into infusion and the distributions of late order signing times. Results: Gynecology cancer patient providers had higher late order signing percentages at baseline (September 2017 through January 2018) than after sharing those data, which occurred from February through May 2018. The table below provides medication order counts and late order signing percentages by month. Although late signing percentages decreased after sharing the baseline data, the distribution of how late the late orders were signed did not show improvement, staying at an average of 20 minutes late. Conclusions: Sharing late order signing data with providers on a routine basis reduced late signing percentages. Initiating this process with all disease groups is crucial so that downstream workflows can start sooner and patient wait times reduced.[Table: see text]
    Materialart: Online-Ressource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Clinical Oncology (ASCO)
    Publikationsdatum: 2018
    ZDB Id: 2005181-5
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz