Digital Pathology: A Cost-Effective Solution For Healthcare Systems

Abstract Background Digital pathology represents a transformative technology in healthcare, utilizing digital analysis and interpretation of pathology microscopy images. While traditional light microscopy remains the standard, digital pathology offers potential advantages: improved diagnostic accuracy, increased efficiency, and enhanced collaboration. However, cost-effectiveness remains a crucial consideration for widespread adoption. This systematic review aims to evaluate the cost-effectiveness of digital pathology in various healthcare settings. Methods A literature search was conducted in PubMed, Scopus and Cochrane Library, using keywords “digital pathology”, “telepathology” “cost”, and “effectiveness”. The search was limited to English-language studies discussing digital pathology and its cost effectiveness. Prior to inclusion, studies were evaluated for relevance and applicability. Included studies were analyzed for methodology, sample size, data collection methods, and key findings. Results Of 125 articles identified, 16 studies met inclusion criteria. Key findings included streamlined workflows allowing for smoother collaboration across institutions, enabling simultaneous evaluation of multiple slides, and utilizing image processing software to automate time-consuming tasks. Additionally, digital pathology reduces the need for physical slide transportation, reducing costs and enabling access to specialist expertise in remote or underserved areas. This combination of efficiency gains and potential cost savings suggests digital pathology’s potential for long-term cost-effectiveness in healthcare systems. Conclusions Digital pathology has the potential to increase cost-effectiveness and improve quality and efficiency of pathology services. Further research is necessary to determine optimal implementation strategies, but the evidence suggests digital pathology warrants continued investment and adoption by healthcare systems to improve public health outcomes. Key messages • Digital pathology demonstrates potential for cost-effectiveness. • Despite the need to refine implementation, the efficiency and potential cost savings of digital pathology warrant further exploration.

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Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.1129
Primary Topic
AI in cancer detection
Type
article
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article

Digital Pathology: A Cost-Effective Solution For Healthcare Systems

James Ch’ng, Chia Yin Chong
European Journal of Public Health
AI in cancer detection
article

Digital Pathology: A Cost-Effective Solution For Healthcare Systems

James Ch’ng, Chia Yin Chong
article en

Abstract

Abstract Background Digital pathology represents a transformative technology in healthcare, utilizing digital analysis and interpretation of pathology microscopy images. While traditional light microscopy remains the standard, digital pathology offers potential advantages: improved diagnostic accuracy, increased efficiency, and enhanced collaboration. However, cost-effectiveness remains a crucial consideration for widespread adoption. This systematic review aims to evaluate the cost-effectiveness of digital pathology in various healthcare settings. Methods A literature search was conducted in PubMed, Scopus and Cochrane Library, using keywords “digital pathology”, “telepathology” “cost”, and “effectiveness”. The search was limited to English-language studies discussing digital pathology and its cost effectiveness. Prior to inclusion, studies were evaluated for relevance and applicability. Included studies were analyzed for methodology, sample size, data collection methods, and key findings. Results Of 125 articles identified, 16 studies met inclusion criteria. Key findings included streamlined workflows allowing for smoother collaboration across institutions, enabling simultaneous evaluation of multiple slides, and utilizing image processing software to automate time-consuming tasks. Additionally, digital pathology reduces the need for physical slide transportation, reducing costs and enabling access to specialist expertise in remote or underserved areas. This combination of efficiency gains and potential cost savings suggests digital pathology’s potential for long-term cost-effectiveness in healthcare systems. Conclusions Digital pathology has the potential to increase cost-effectiveness and improve quality and efficiency of pathology services. Further research is necessary to determine optimal implementation strategies, but the evidence suggests digital pathology warrants continued investment and adoption by healthcare systems to improve public health outcomes. Key messages • Digital pathology demonstrates potential for cost-effectiveness. • Despite the need to refine implementation, the efficiency and potential cost savings of digital pathology warrant further exploration.

European Journal of Public HealthVol. 34(Supplement_3)
Ministry of Health (SG), National University Health System (SG)
Openalex Percentile: Top 83%
AI in cancer detection
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