Digital modalities in pathology: Investing in our patients, investing in our future.

Implementation of digital pathology is an added expense with very little externally validated evidence of costeffectiveness in a Canadian model. It does allow for data mining beyond what some pathologists may be aware of. It is a prerequisite to artificial intelligence, an exciting frontier for rese...

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Publicado en:Canadian Journal of Pathology Vol. 16; no. 2; pp. 8 - 15
Autor principal: Hall, Ann
Formato: letter Journal Article
Publicado: Canadian Association of Pathologists May2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2024
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      pub: Canadian Association of Pathologists
      place: Kingston, Ontario
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        atl: Digital modalities in pathology: Investing in our patients, investing in our future.
      aug:
        au: Hall, Ann
        affil: Brantford General Hospital, Brant Community Healthcare System, Brantford, ON, Canada
      sug:
        subj:
          Pathology
          Digital Health
          Program Implementation
          Cost Effectiveness Analysis Canada
          Canada
          Pathologists
          Hospitals, Community
          Microscopy
          Artificial Intelligence
          Information Technology
          Patient Care
          Health Services Accessibility
          Cancer Screening
          Workflow
          Outcomes (Health Care)
          Quality of Health Care
      ab:
        Implementation of digital pathology is an added expense with very little externally validated evidence of costeffectiveness in a Canadian model. It does allow for data mining beyond what some pathologists may be aware of. It is a prerequisite to artificial intelligence, an exciting frontier for research. The evidence for why our limited public resources should currently be spent on expanding this technology into community hospitals is lacking. When planning for the investment in new technology, potentially cost-effective modalities such as in vivo and ex vivo microscopy should be considered.
        La mise en oeuvre de la pathologie numérique exige une dépense supplémentaire dont le rapport coût-efficacité dans un modèle canadien a fait l'objet d'une validation externe très limitée. Force est de reconnaître que la pathologie numérique permet une extraction de données allant au-delà des attentes de certain·e·s pathologistes. C'est une condition préalable à l'introduction de l'intelligence artificielle, une frontière passionnante pour la recherche. Or, les données probantes permettant de justifier de consacrer à l'heure actuelle nos ressources publiques limitées au déploiement de cette technologie dans les hôpitaux communautaires font défaut. Quand il s'agit de planifier d'investir dans les nouvelles technologies, il convient d'envisager des modalités potentiellement rentables telles que la microscopie in vivo et ex vivo.
      pubtype: Academic Journal
      doctype:
        letter
        Journal Article
      ougenre: Article
    language: English
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