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Published in: BMC Health Services Research 1/2022

Open Access 01-12-2022 | Research

Using patient flow analysis with real-time patient tracking to optimize radiation oncology consultation visits

Authors: Shane Mesko, Julius Weng, Prajnan Das, Albert C. Koong, Joseph M. Herman, Dorothy Elrod-Joplin, Ashley Kerr, Thomas Aloia, John Frenzel, Katy E. French, Wendi Martinez, Iris Recinos, Abdulaziz Alshaikh, Utpala Daftary, Amy C. Moreno, Quynh-Nhu Nguyen

Published in: BMC Health Services Research | Issue 1/2022

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Abstract

Purpose

Clinical efficiency is a key component of the value-based care model and a driver of patient satisfaction. The purpose of this study was to identify and address inefficiencies at a high-volume radiation oncology clinic.

Methods and materials

Patient flow analysis (PFA) was used to create process maps and optimize the workflow of consultation visits in a gastrointestinal radiation oncology clinic at a large academic cancer center. Metrics such as cycle times, waiting times, and rooming times were assessed by using a real-time patient status function in the electronic medical record for 556 consults and compared between before vs after implementation of the PFA recommendations.

Results

The initial PFA revealed four inefficiencies: (1) protracted rooming time, (2) inefficient communications, (3) duplicated tasks, and (4) ambiguous clinical roles. We analyzed 485 consult-visits before the PFA and 71 after the PFA. The PFA recommendations led to reductions in overall median cycle time by 21% (91 min vs 72 min, p < 0.001), in cumulative waiting times by 64% (45 min vs 16 min; p < 0.001), which included waiting room time (14 min vs 5 min; p < 0.001) and wait for physician (20 min vs. 6 min; p < 0.001). Slightly less than one-quarter (22%) of consult visits before the PFA lasted > 2 h vs. 0% after implementation of the recommendations (p < 0.001). Similarly, the proportion of visits requiring < 1 h was 16% before PFA vs 34% afterward (p < 0.001).

Conclusions

PFA can be used to identify clinical inefficiencies and optimize workflows in radiation oncology consultation clinics, and implementing their findings can significantly improve cycle times and waiting times. Potential downstream effects of these interventions include improved patient experience, decreased staff burnout, financial savings, and opportunities for expanding clinical capacity.
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Metadata
Title
Using patient flow analysis with real-time patient tracking to optimize radiation oncology consultation visits
Authors
Shane Mesko
Julius Weng
Prajnan Das
Albert C. Koong
Joseph M. Herman
Dorothy Elrod-Joplin
Ashley Kerr
Thomas Aloia
John Frenzel
Katy E. French
Wendi Martinez
Iris Recinos
Abdulaziz Alshaikh
Utpala Daftary
Amy C. Moreno
Quynh-Nhu Nguyen
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2022
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-022-08809-2

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