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Updated: Oct 2, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Published on: April 11, 2016

CAP-ACP Workload Model for Advanced Diagnostics in Precision Medicine.

Paul C Park¹, Kyle C Kurek², John DeCoteau³

¹Shared Health Manitoba, Winnipeg, Canada.

American Journal of Clinical Pathology

|February 23, 2022

Summary

Pathologists

Keywords:

Advanced diagnostics Biomarker testing Next-generation sequencing Oncology Precision medicine Workload

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Area of Science:

Oncology
Pathology
Genomics

Background:

Precision medicine tailors cancer treatment using individual genetic and clinical data.
Advanced diagnostic testing is crucial for prognostic information and guiding oncology management.
Accurate and timely pathology testing is essential to meet the demands of precision oncology.

Purpose of the Study:

To develop and beta test a workload assessment model for advanced diagnostics in pathology.
To capture the comprehensive work involved in advanced diagnostic services.
To enable appropriate pathologist resource allocation for advanced diagnostic testing.

Main Methods:

Convened an expert panel of Canadian pathologists in advanced diagnostics.
Detailed all aspects of the advanced diagnostics workload, including oversight and administration.
Developed specific models for biomarker assays and next-generation sequencing (NGS).

Main Results:

Established a beta-tested model for assessing pathologist workload in advanced diagnostics.
Models were created for simple, complex, and multiplexed biomarker assays.
A detailed model was developed for assessing workload associated with NGS-based assays.

Conclusions:

This study presents the first detailed proposal for capturing advanced diagnostic workload.
The proposed model facilitates appropriate pathologist staffing for advanced diagnostic services.
Accurate workload assessment is key to supporting precision medicine through advanced pathology diagnostics.