Optimizing Outpatient Radiation Oncology Consult Workflow by Using Time-Driven Activity-Based Costing: Efficiency and Financial Impacts

Author:

Weng Julius1ORCID,Mesko Shane2ORCID,Chronowski Gregory1,Lee Percy3,Choi Seungtaek1,Das Prajnan1,Koong Albert C.1ORCID,French Katy1,Aloia Thomas4ORCID,Ehlers Richie5ORCID,Elrod-Joplin Dorothy1ORCID,Kerr Ashley1,Smith Regina1,Martinez Wendi6,Bloom Elizabeth1,Shah Shalin J.1ORCID,Ning Matthew S.1ORCID,Liao Zhongxing1ORCID,Herman Joseph7,Moningi Shalini8,Moreno Amy C.1ORCID,Nguyen Quynh-Nhu1

Affiliation:

1. Division of Radiation Oncology, MD Anderson Cancer Center, Houston, TX

2. Division of Radiation Oncology, Scripps MD Anderson Cancer Center, San Diego, CA

3. Department of Radiation Oncology, City of Hope National Medical Center, Los Angeles, CA

4. Surgical Oncology, Ascension Health, Pearland, TX

5. Department of Breast Surgical Oncology, MD Anderson Cancer Center, Houston, TX

6. Institute for Cancer Care Innovation, MD Anderson Cancer Center, Houston, TX

7. Radiation Medicine, Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY

8. Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA

Abstract

PURPOSE Clinical efficiency is a key component of value-based health care. Our objective here was to identify workflow inefficiencies by using time-driven activity-based costing (TDABC) and evaluate the implementation of a new clinical workflow in high-volume outpatient radiation oncology clinics. METHODS Our quality improvement study was conducted with the Departments of GI, Genitourinary (GU), and Thoracic Radiation Oncology at a large academic cancer center and four community network sites. TDABC was used to create process maps and optimize workflow for outpatient consults. Patient encounter metrics were captured with a real-time status function in the electronic medical record. Time metrics were compared using Mann-Whitney U tests. RESULTS Individual patient encounter data for 1,328 consults before the intervention and 1,234 afterward across all sections were included. The median overall cycle time was reduced by 21% in GI (19 minutes), 18% in GU (16 minutes), and 12% at the community sites (9 minutes). The median financial savings per consult were $52 in US dollars (USD) for the GI, $33 USD for GU, $30 USD for thoracic, and $42 USD for the community sites. Patient satisfaction surveys (from 127 of 228 patients) showed that 99% of patients reported that their providers spent adequate time with them and 91% reported being seen by a care provider in a timely manner. CONCLUSION TDABC can effectively identify opportunities to improve clinical efficiency. Implementing workflow changes on the basis of our findings led to substantial reductions in overall encounter cycle times across several departments, as well as high patient satisfaction and significant financial savings.

Publisher

American Society of Clinical Oncology (ASCO)

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