Oncology Informatics: Status Quo and Outlook

doi:10.1159/000507586

Review

. 2020;98(6):329-331.

doi: 10.1159/000507586. Epub 2020 May 14.

Oncology Informatics: Status Quo and Outlook

Paul Martin Putora^{1

2}, Michael Baudis³, Beth M Beadle⁴, Issam El Naqa⁵, Frank A Giordano⁶, Nils H Nicolay^{7

8}

Affiliations

¹ Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland, PaulMartin.Putora@kssg.ch.
² Department of Radiation Oncology, University of Bern, Bern, Switzerland, PaulMartin.Putora@kssg.ch.
³ Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.
⁴ Department of Radiation Oncology, Stanford University, Stanford, California, USA.
⁵ Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
⁶ Department of Radiation Oncology, University of Bonn, Bonn, Germany.
⁷ Department of Radiation Oncology, University of Freiburg - Medical Center, Freiburg, Germany.
⁸ German Cancer Consortium Partner Site Freiburg, German Cancer Research Center, Heidelberg, Germany.

PMID: 32408309
PMCID: PMC8882056
DOI: 10.1159/000507586

Review

Oncology Informatics: Status Quo and Outlook

Paul Martin Putora et al. Oncology. 2020.

. 2020;98(6):329-331.

doi: 10.1159/000507586. Epub 2020 May 14.

Authors

Paul Martin Putora^{1

2}, Michael Baudis³, Beth M Beadle⁴, Issam El Naqa⁵, Frank A Giordano⁶, Nils H Nicolay^{7

8}

Affiliations

¹ Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland, PaulMartin.Putora@kssg.ch.
² Department of Radiation Oncology, University of Bern, Bern, Switzerland, PaulMartin.Putora@kssg.ch.
³ Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.
⁴ Department of Radiation Oncology, Stanford University, Stanford, California, USA.
⁵ Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
⁶ Department of Radiation Oncology, University of Bonn, Bonn, Germany.
⁷ Department of Radiation Oncology, University of Freiburg - Medical Center, Freiburg, Germany.
⁸ German Cancer Consortium Partner Site Freiburg, German Cancer Research Center, Heidelberg, Germany.

PMID: 32408309
PMCID: PMC8882056
DOI: 10.1159/000507586

Abstract

Oncology has undergone rapid progress, with emerging developments in areas including cancer stem cells, molecularly targeted therapies, genomic analyses, and individually tailored immunotherapy. These advances have expanded the tools available in the fight against cancer. Some of these have seen broad media coverage resulting in justified public attention. However, these achievements have only been possible due to rapid developments in the expanding field of biomedical informatics and information technology (IT). Artificial intelligence, radiomics, electronic health records, and electronic patient-reported outcome measures (ePROMS) are only a few of the developments enabling further progress in oncology. The promising impact of IT in oncology will only become reality through a multidisciplinary approach to the complex challenges ahead.

Keywords: Artificial intelligence; Cancer; Electronic health record; Electronic patient-reported outcome measures; Informatics; Machine learning; Oncology; Radiation oncology.

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Conflict of interest statement

Disclosure Statement

The authors have no conflicts of interest to declare.

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[1] Fenn J, Linden A. Understanding Gartner’s hype cycles. Strategic analysis report No. R-20–1971. Gartner, Inc.; 2003. p. 88.

[2] Fenn J, Linden A. Understanding Gartner’s hype cycles. Strategic analysis report No. R-20–1971. Gartner, Inc.; 2003. p. 88.

[3] Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA. 2017. Jul 11;318(2):197–8.10.1001/jama.2017.7156 - DOI - PMC - PubMed

[4] Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA. 2017. Jul 11;318(2):197–8.10.1001/jama.2017.7156 - DOI - PMC - PubMed

[5] Denis F, Lethrosne C, Pourel N, Molinier O, Pointreau Y, Domont J, et al. Randomized trial comparing a web-mediated follow-up with routine surveillance in lung cancer patients. J Natl Cancer Inst. 2017. Sep 1;109(9).10.1093/jnci/djx029[pubmed match] - DOI - PubMed

[6] Denis F, Lethrosne C, Pourel N, Molinier O, Pointreau Y, Domont J, et al. Randomized trial comparing a web-mediated follow-up with routine surveillance in lung cancer patients. J Natl Cancer Inst. 2017. Sep 1;109(9).10.1093/jnci/djx029[pubmed match] - DOI - PubMed

[7] Ahlbrandt J, Lablans M, Glocker K, Stahl-Toyota S, Maier-Hein K, Maier-Hein L, et al. Modern information technology for cancer research: What’s in IT for me? An overview of technologies and approaches. Oncology. 2018. Nov 15:1–7. - PubMed

[8] Ahlbrandt J, Lablans M, Glocker K, Stahl-Toyota S, Maier-Hein K, Maier-Hein L, et al. Modern information technology for cancer research: What’s in IT for me? An overview of technologies and approaches. Oncology. 2018. Nov 15:1–7. - PubMed

[9] Dubovitskaya A, Novotny P, Xu Z, Wang F. Applications of blockchain technology for data-sharing in oncology: Results from a systematic literature review. Oncology. 2019. Dec:1–9. - PubMed

[10] Dubovitskaya A, Novotny P, Xu Z, Wang F. Applications of blockchain technology for data-sharing in oncology: Results from a systematic literature review. Oncology. 2019. Dec:1–9. - PubMed

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Oncology Informatics: Status Quo and Outlook

Affiliations

Oncology Informatics: Status Quo and Outlook

Authors

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Abstract

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LinkOut - more resources

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