Your browser doesn't support javascript.
loading
CAP-ACP Workload Model for Advanced Diagnostics in Precision Medicine.
Park, Paul C; Kurek, Kyle C; DeCoteau, John; Howlett, Christopher J; Hawkins, Cynthia; Izevbaye, Iyare; Carter, Michael D; Redpath, Margaret; Lo, Bryan; Alex, Deepu; Yousef, George; Yip, Stephen; Maung, Raymond.
Afiliação
  • Park PC; Shared Health Manitoba, Winnipeg, Canada.
  • Kurek KC; Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Canada.
  • DeCoteau J; Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, Canada.
  • Howlett CJ; Department of Pathology and Laboratory Medicine, London Health Sciences Centre and Western University, London, Canada.
  • Hawkins C; The Hospital for Sick Children, Toronto, Canada.
  • Izevbaye I; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
  • Carter MD; Nova Scotia Health, Central Zone, Halifax, Canada.
  • Redpath M; Department of Pathology, McGill University, Montréal, Canada.
  • Lo B; The Ottawa General Hospital, Ottawa, Canada.
  • Alex D; BC Cancer, Vancouver, Canada.
  • Yousef G; The Hospital for Sick Children, Toronto, Canada.
  • Yip S; BC Cancer, Vancouver, Canada.
  • Maung R; Royal Inland Hospital, Kamloops, Canada.
Am J Clin Pathol ; 158(1): 105-111, 2022 07 01.
Article em En | MEDLINE | ID: mdl-35195689
ABSTRACT

OBJECTIVES:

In precision medicine, where oncologic management is tailored to the individual's clinical and genetic profiles, advanced diagnostic testing provides prognostic information and guides management in a growing number of malignancies. There is a need to capture the work pathologists perform to meet this demand by providing medically relevant, timely, and accurate testing results. This work includes not only direct patient consults (interpretation of results and issuing reports) but the administrative and medical oversight as well as the research needed to provide the necessary quality assurance, quality control, direction, and framework for the laboratory.

METHODS:

An expert panel of Canadian pathologists involved in advanced diagnostics was convened to establish and beta test a model for workload assessment in advanced diagnostics.

RESULTS:

All aspects of the advanced diagnostics workload were detailed and applied to models based on members' experience, including medical oversight, administration, and the introduction of new testing and platforms. Models for biomarker testing were developed for simple and complex or multiplexed assays, and a detailed model was developed to assess the workload for next-generation sequencing-based assays.

CONCLUSIONS:

This paper provides the first detailed proposal for capturing an advanced diagnostic workload to enable appropriate pathologist allotment for performing all the steps required to run an advanced diagnostic service.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article