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Review
. 2022 Winter;49(4):153-160.

Current and Emerging Informatics Initiatives Impactful to Cancer Registries

Affiliations
Review

Current and Emerging Informatics Initiatives Impactful to Cancer Registries

Dana E Rollison et al. J Registry Manag. 2022 Winter.

Abstract

Cancer surveillance at the population level is a highly labor-intensive process, with certified tumor registrars (CTRs) manually reviewing medical charts of cancer patients and entering information into local databases that are centrally merged and curated at state and national levels. Registries face considerable challenges in terms of constrained budgets, staffing shortages, and keeping pace with the evolving national and international data standards that are essential to cancer registration. Advanced informatics methods are needed to increase automation, reduce manual efforts, and to help address some of these challenges. The Cancer Informatics Advisory Group (CIAG) to the North American Association of Central Cancer Registries (NAACCR) board was established in 2019 to advise of external informatics activities and initiatives for long-term strategic planning. Reviewed here by the CIAG are current informatics initiatives that were either born out of the cancer registry field or have implications for expansion to cancer surveillance programs in the future. Several areas of notable activity are presented, including an overview of informatics initiatives and descriptions of 12 specific informatics projects with implications for cancer registries. Recommendations are also provided to the registry community for the continued tracking and impact of the projects and initiatives.

Keywords: Cancer Informatics Advisory Group; automation; cancer surveillance.

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References

    1. Warner JL, Dymshyts D, Reich CG, et al.. HemOnc: a new standard vocabulary for chemotherapy regimen representation in the OMOP common data model. J Biomed Inform. 2019;96:103239. - PMC - PubMed
    1. Griffith SD, Miksad RA, Calkins G, et al.. Characterizing the feasibility and performance of real-world tumor progression end points and their association with overall survival in a large advanced non-small-cell lung cancer data set. JCO Clin Cancer Inform. 2019;3:1–13. - PMC - PubMed
    1. De Angeli K, Gao S, Blanchard A, et al.. Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports. JAMIA Open. 2022;5(3):ooac075 - PMC - PubMed
    1. Yoon H-J, Peluso A, Durbin EB, et al.. Automatic information extraction from childhood cancer pathology reports. JAMIA Open. 2022;5(2):ooac049. - PMC - PubMed
    1. Blanchard AE, Gao S, Yoon HJ, et al.. A keyword-enhanced approach to handle class imbalance in clinical text classification. IEEE J Biomed Health Inform. 2022;26(6):2796–2803. - PMC - PubMed

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