Optimizing Workflow for OncotypeDX Result Turnaround Time at a Safety Net Hospital
We developed a strategy to optimize the OncotypeDX workflow in a large safety net health system despite an increase in patients from MUAs and MUPs. Initiating ordering of OncotypeDX by breast surgery, along with communication with pathology, vendor, and medical oncology, significantly reduced TAT.
Authors
- Pratibha S. Shukla (ORCID: https://orcid.org/0000-0001-5605-5885)
- Christie Hung (ORCID: https://orcid.org/0000-0001-9311-9542)
- Tresara C. Bell
- Erica B. Friedman (ORCID: https://orcid.org/0000-0002-9208-6926)
- Hye Gyeong Sin
- Andrew Li
- Xiaoqing L. O’Leary
- Jennifer Wu
Institutions
- Rutgers, The State University of New Jersey (US)
- NYU Langone Health (US)
- Rutgers New Jersey Medical School (US)
- New York University (US)
Publication Details
- Journal
- Global Journal on Quality and Safety in Healthcare
- Published
- 2026-01-19
- DOI
- https://doi.org/10.36401/jqsh-25-16
- Primary Topic
- Advanced Breast Cancer Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00