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The Pathologist / Issues / 2026 / February / How to Increase Efficiency in Routine Oncology NGS Workflows
Oncology Precision medicine Laboratory management Research and Innovations Molecular Pathology Technology and innovation Insights

How to Increase Efficiency in Routine Oncology NGS Workflows

Steven Stone discusses the importance of automating NGS to achieve faster turnaround with less attentive time

02/10/2026 Learning 8 min read

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Clinical Scorecard: How to Increase Efficiency in Routine Oncology NGS Workflows

At a Glance

CategoryDetail
ConditionNext-Generation Sequencing (NGS) in Precision Oncology
Key MechanismsAutomation and workflow redesign to enhance efficiency and reduce turnaround time.
Target PopulationPatients requiring precision oncology testing for solid tumors.
Care SettingLaboratory settings conducting NGS testing.

Key Highlights

  • Amplicon-based NGS (Oncomine Dx Express Test) demonstrated significant efficiency gains over hybrid-capture workflows.
  • Turnaround time reduced by 62 hours with the Oncomine Dx Express Test.
  • Automation reduces hands-on time from 451 minutes in hybrid-capture to 41 minutes in amplicon-based testing.
  • Laboratories face operational challenges due to complex workflows and resource constraints.
  • Redesigning workflows can eliminate bottlenecks without compromising quality.

Guideline-Based Recommendations

Diagnosis

  • Utilize NGS as the primary method for precision oncology testing.

Management

  • Implement automation to streamline NGS workflows and reduce manual steps.

Monitoring & Follow-up

  • Continuously assess workflow efficiency and turnaround times.

Risks

  • Operational challenges may limit efficiency and scalability of NGS testing.

Patient & Prescribing Data

Patients with solid tumors requiring precision oncology testing.

Precision oncology enables individualized treatment based on NGS results.

Clinical Best Practices

  • Achieve an ideal balance of hands-on time and turnaround time.
  • Identify and eliminate bottlenecks in NGS workflows.
  • Optimize resources to accommodate increasing testing volumes.

References

  • Thermo Fisher Scientific Webinar

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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References

  1. S Stone et al., “Results of a time and motion study of two next-generation sequencing workflows in a routine oncology biomarker profiling setting,” Poster G066, presented at the Association of Molecular Pathology Annual Meeting (2025).

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