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Implementing Next-Generation Sequencing Process Changes to Increase Capacity and Improve Timeliness of Molecular Biomarker Profiling for Lung Cancer Patients.
Semenuk, Laura J; Kartolo, Baskoro A; Feilotter, Harriet E; Lee, Shawna M; Savage, Colleen A; Boag, Alexander H; Digby, Geneviève C; Mates, Mihaela.
Afiliação
  • Semenuk LJ; Molecular Genetics Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
  • Kartolo BA; Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
  • Feilotter HE; Department of Oncology, Queen's University, Kingston, ON, Canada.
  • Lee SM; Molecular Genetics Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
  • Savage CA; Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
  • Boag AH; Molecular Genetics Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
  • Digby GC; Department of Oncology, Queen's University, Kingston, ON, Canada.
  • Mates M; Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
J Appl Lab Med ; 9(2): 284-294, 2024 03 01.
Article em En | MEDLINE | ID: mdl-38102066
ABSTRACT

BACKGROUND:

Faced with expansion of molecular tumor biomarker profiling, the molecular genetics laboratory at Kingston Health Science Centre experienced significant pressures to maintain the provincially mandated 2-week turnaround time (TAT) for lung cancer (LC) patients. We used quality improvement methodology to identify opportunities for improved efficiencies and report the impact of the initiative.

METHODS:

We set a target of reducing average TAT from accessioning to clinical molecular lab report for LC patients. Process measures included percentage of cases reaching TAT within target and number of cases. We developed a value stream map and used lean methodology to identify baseline inefficiencies. Plan-Do-Study-Act cycles were implemented to streamline, standardize, and automate laboratory workflows. Statistical process control (SPC) charts assessed for significance by special cause variation.

RESULTS:

A total of 257 LC cases were included (39 baseline January-May 2021; 218 post-expansion of testing June 2021). The average time for baseline TAT was 12.8 days, peaking at 23.4 days after expansion of testing, and improved to 13.9 days following improvement interventions, demonstrating statistical significance by special cause variation (nonrandom variation) on SPC charts.

CONCLUSIONS:

The implementation of standardized manual and automated laboratory processes improved timeliness of biomarker reporting despite the increasing volume of testing at our center.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article