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Patient-Centered Genomic Diagnostic Testing for AML: A Quality Improvement Project.
Jenny M Ho1, Uday Deotare1, Aatif Qureshi1
1Division of Hematology, Department of Medicine, Schulich School of Medicine & Dentistry, Western University, London, Canada.
Implementing a reflex testing algorithm significantly improved genomic test ordering and reduced turnaround times for acute myeloid leukemia (AML) patients. This quality improvement initiative streamlines diagnostics for personalized AML treatment.
Area of Science:
- Hematology
- Genomics
- Clinical Diagnostics
Background:
- Acute myeloid leukemia (AML) classification and treatment are increasingly guided by specific genetic subtypes.
- Accurate and timely cytogenetic and molecular testing is crucial for personalized AML therapy.
- Current diagnostic processes present challenges in test ordering and turnaround times (TATs).
Purpose of the Study:
- To optimize the process for ordering genomic diagnostic tests in AML.
- To reduce the turnaround time (TAT) for essential genomic tests in AML patients.
- To enhance the efficiency of diagnostic workflows for newly diagnosed AML (ND-AML).
Main Methods:
- A multidisciplinary working group developed a reflex testing algorithm for ND-AML, triggered by flow cytometry.
- Key tests included next-generation sequencing (NGS) myeloid panel, karyotype, and specific PCR assays (FLT3, NPM1, CBFB::MYH11, RUNX1::RUNX1T1).
- Three Plan-Do-Study-Act (PDSA) cycles were implemented, focusing on education, algorithm implementation, and NGS workflow automation.
Main Results:
- Test ordering compliance improved to over 90% after PDSA 2.
- TAT for NGS was reduced by 63.3% to 11.4 days after PDSA 3, meeting the 14-day target.
- Target TAT of ≤5 days was achieved for FLT3 and NPM1 PCR tests.
Conclusions:
- A collaborative, multidisciplinary approach was key to developing an effective reflex testing algorithm for AML.
- The implemented algorithm significantly improved test ordering practices and reduced diagnostic TATs.
- Streamlined genomic testing supports timely and personalized treatment decisions for AML patients.
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