Literature DB >> 28726508

Optimizing MRI Logistics: Prospective Analysis of Performance, Efficiency, and Patient Throughput.

Kevin Beker1, Alejandro Garces-Descovich1, Jason Mangosing1, Ines Cabral-Goncalves1, Donna Hallett1, Koenraad J Mortele1.   

Abstract

OBJECTIVE: The objective of this study is to optimize MRI logistics through evaluation of MRI workflow and analysis of performance, efficiency, and patient throughput in a tertiary care academic center. SUBJECTS AND METHODS: For 2 weeks, workflow data from two outpatient MRI scanners were prospectively collected and stratified by value added to the process (i.e., value-added time, business value-added time, or non-value-added time). Two separate time cycles were measured: the actual MRI process cycle as well as the complete length of patient stay in the department. In addition, the impact and frequency of delays across all observations were measured.
RESULTS: A total of 305 MRI examinations were evaluated, including body (34.1%), neurologic (28.9%), musculoskeletal (21.0%), and breast examinations (16.1%). The MRI process cycle lasted a mean of 50.97 ± 24.4 (SD) minutes per examination; the mean non-value-added time was 13.21 ± 18.77 minutes (25.87% of the total process cycle time). The mean length-of-stay cycle was 83.51 ± 33.63 minutes; the mean non-value-added time was 24.33 ± 24.84 minutes (29.14% of the total patient stay). The delay with the highest frequency (5.57%) was IV or port placement, which had a mean delay of 22.82 minutes. The delay with the greatest impact on time was MRI arthrography for which joint injection of contrast medium was necessary but was not accounted for in the schedule (mean delay, 42.2 minutes; frequency, 1.64%). Of 305 patients, 34 (11.15%) did not arrive at or before their scheduled time.
CONCLUSION: Non-value-added time represents approximately one-third of the total MRI process cycle and patient length of stay. Identifying specific delays may expedite the application of targeted improvement strategies, potentially increasing revenue, efficiency, and overall patient satisfaction.

Entities:  

Keywords:  MRI; delay; efficiency; focused process improvement; lean; logistics; patient satisfaction; quality improvement; throughput; value; wait times; workflow

Mesh:

Year:  2017        PMID: 28726508     DOI: 10.2214/AJR.16.17698

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Optimization of MRI Turnaround Times Through the Use of Dockable Tables and Innovative Architectural Design Strategies.

Authors:  Michael P Recht; Kai Tobias Block; Hersh Chandarana; Jennifer Friedland; Thomas Mullholland; Donal Teahan; Roy Wiggins
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

2.  Factors predicting the time-length variability of identically protocoled MRI exams.

Authors:  Gregory D Avey; Daryn S Belden; Ryan D Zea; John-Paul J Yu
Journal:  J Magn Reson Imaging       Date:  2019-01-13       Impact factor: 4.813

3.  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

4.  The Cinderellas of the scanner: Magnetic resonance imaging 'pre-scan' and 'post-scan' times: Their determinants and impact on patient throughput.

Authors:  Marthinus B van Rooyen; Richard D Pitcher
Journal:  SA J Radiol       Date:  2020-12-01

5.  Utilization of a cloud-based radiology analytics platform to monitor imaging volumes at a large tertiary center.

Authors:  Stanley Chu; Mitchell Collins; Maurice Pradella; Martin Kramer; Rachel Davids; Mathis Zimmerman; Sarah Fopma; Alexander Korutz; Blair Faber; Ryan Avery; James Carr; Bradley D Allen; Michael Markl
Journal:  Eur J Radiol Open       Date:  2022-10-05
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.