Literature DB >> 26423205

Improving Procedure Start Times and Decreasing Delays in Interventional Radiology: A Department's Quality Improvement Initiative.

Monica C Villarreal1, Bradley S Rostad2, Richard Wright2, Kimberly E Applegate2.   

Abstract

RATIONALE AND
OBJECTIVES: To identify and reduce reasons for delays in procedure start times, particularly the first cases of the day, within the interventional radiology (IR) divisions of the Department of Radiology using principles of continuous quality improvement.
MATERIALS AND METHODS: An interdisciplinary team representative of the IR and preprocedure/postprocedure care area (PPCA) health care personnel, managers, and data analysts was formed. A standardized form was used to document both inpatient and outpatient progress through the PPCA and IR workflow in six rooms and to document reasons for delays. Data generated were used to identify key problems areas, implement improvement interventions, and monitor their effects. Project duration was 6 months.
RESULTS: The average number of on-time starts for the first case of the day increased from 23% to 56% (P value < .01). The average number of on-time, scheduled outpatients increased from 30% to 45% (P value < .01). Patient wait time to arrive at treatment room once they were ready for their procedure was reduced on average by 10 minutes (P value < .01). Patient care delay duration per 100 patients was reduced from 30.3 to 21.6 hours (29% reduction). Number of patient care delays per 100 patients was reduced from 46.6 to 40.1 (17% reduction). Top reasons for delay included waiting for consent (26% of delays duration) and laboratory tests (12%).
CONCLUSIONS: Many complex factors contribute to procedure start time delays within an IR practice. A data-driven and patient-centered, interdisciplinary team approach was effective in reducing delays in IR.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Quality improvement; interventional radiology; operating rooms/organization and administration; process improvement; systems engineering

Mesh:

Year:  2015        PMID: 26423205     DOI: 10.1016/j.acra.2015.08.008

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  2 in total

1.  Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling, Simulation, and Optimization Techniques.

Authors:  Ranjith Tellis; Olga Starobinets; Michael Prokle; Usha Nandini Raghavan; Christopher Hall; Tammana Chugh; Ekin Koker; Siva Chaitanya Chaduvula; Christoph Wald; Sebastian Flacke
Journal:  J Digit Imaging       Date:  2020-11-24       Impact factor: 4.056

2.  What Do Patients Think About Their Radiation Oncologists? An Assessment of Online Patient Reviews on Healthgrades.

Authors:  Arpan V Prabhu; Simrath Randhawa; David Clump; Dwight E Heron; Sushil Beriwal
Journal:  Cureus       Date:  2018-02-06
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.