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Personalised Clinical Decision Support for Cancer Care

  • Bernhard G. Humm
  • Paul Walsh
Chapter

Abstract

Medical consultants face increasing challenges in keeping up-to-date with the rapid development of new treatments and medications. Information providers offer evidence-based medical information services, continuously taking into account new publications and medical developments. This article describes a personalised clinical decision support system for cancer care. Data from evidence-based medical knowledge services are semantically linked with electronic health records and presented to consultants at the point-of-care.

References

  1. 1.
    Petrucelli N, Daly MB, Pal T (1998) BRCA1- and BRCA2-associated hereditary breast and ovarian cancer [Online]. Available at https://www.ncbi.nlm.nih.gov/pubmed/20301425. Accessed 1 Dec 2017
  2. 2.
    Papadaki C, Sfakianaki M, Ioannidis G, Lagoudaki E, Trypaki M, Tryfonidis K, Mavroudis D, Stathopoulos E, Georgoulias V, Souglakos J (2012) ERCC1 and BRAC1 mRNA expression levels in the primary tumor could predict the effectiveness of the second-line cisplatin-based chemotherapy in pretreated patients with metastatic non-small cell lung cancer. J Thorac Oncol 7(4):663–671CrossRefGoogle Scholar
  3. 3.
    breastcancer.org (2017) HER2 status [Online]. Available at http://www.breastcancer.org/symptoms/diagnosis/her2. Accessed 1 Dec 2017
  4. 4.
    Soerjomataram I, Louwman MWJ, Ribot JG, Roukema JA, Coebergh JW (2008) An overview of prognostic factors for long-term survivors of breast cancer. Breast Cancer Res Treat 107(3):309–330CrossRefGoogle Scholar
  5. 5.
    Murugan R (2015) Movement towards personalised medicine in the ICU. Lancet Respir Med 3(1):10–12CrossRefGoogle Scholar
  6. 6.
    Ciardiello F, Arnold D, Casali PG, Cervantes A, Douillard J-Y, Eggermont A, Eniu A, McGregor K, Peters S, Piccart M, Popescu R, Van Cutsem E, Zielinski C, Stahel R (2014) Delivering precision medicine in oncology today and in future – the promise and challenges of personalised cancer medicine: a position paper by the European Society for Medical Oncology (ESMO). Ann Oncol 25(9):1673–1678CrossRefGoogle Scholar
  7. 7.
    Shanafelt TD, Dyrbye LN, West CP (2017) Addressing physician burnout: the way forward. JAMA 317(9):901–902CrossRefGoogle Scholar
  8. 8.
    Privacy Analytics (2016) The rise of big data in healthcare [online]. Available at https://privacy-analytics.com/de-id-university/blog/rise-big-data-healthcare/. Accessed 17 Dec 2017
  9. 9.
    Rahmner PB, Eiermann B, Korkmaz S, Gustafsson LL, Gruvén M, Maxwell S, Eichle HG, Vég A (2012) Physicians’ reported needs of drug information at point of care in Sweden. Br J Clin Pharmacol 73(1):115–125CrossRefGoogle Scholar
  10. 10.
    Hung BT, Long NP, Hung LP, Luan NT, Anh NH, Nghi TD et al (2015) Research trends in evidence-based medicine: a joinpoint regression analysis of more than 50 years of publication data. PLoS ONE 10(4):e0121054.  https://doi.org/10.1371/journal.pone.0121054 CrossRefGoogle Scholar
  11. 11.
    Maggio LA, Cate OT, Moorhead LL, Van Stiphout F, Kramer BM, Ter Braak E, Posley K, Irby D, O’Brien BC (2014) Characterizing physicians’ information needs at the point of care. Perspect Med Educ 33(5):332–342CrossRefGoogle Scholar
  12. 12.
    Maggio LA, Steinberg RM, Moorhead L, O’Brien B, Willinsky J (2013) Access of primary and secondary literature by health personnel in an academic health center: implications for open access. J Med Libr Assoc 101(3):205–212CrossRefGoogle Scholar
  13. 13.
    Humm BG, Lamba F, Landmann T, Steffens M, Walsh P (2017) Evidence-based medical recommendations for personalized medicine. In: Proceedings of the collaborative european research conference (CERC 2017), KarlsruheGoogle Scholar
  14. 14.
    Jensen PB, Jensen LJ, Brunak S (2012) Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet 13(6):395–405CrossRefGoogle Scholar
  15. 15.
    Beez U, BG Humm, Walsh P (2015) Semantic autosuggest for electronic health records. In: Arabnia HR, Deligiannidis L, Tran Q-N (eds) Proceedings of the 2015 international conference on computational science and computational intelligence. IEEE Conference Publishing Services, Las Vegas, 7–9 Dec 2015. ISBN 978-1-4673-9795-7/15,  https://doi.org/10.1109/CSCI.2015.85
  16. 16.
    Liu L, Özsu MT (eds) (2009) Encyclopedia of database systems. Springer, New YorkzbMATHGoogle Scholar
  17. 17.
    Humm BG, Walsh P (2015) Flexible yet efficient management of electronic health records. In: Arabnia HR, Deligiannidis L, Tran Q-N (eds) Proceedings of the 2015 international conference on computational science and computational intelligence. IEEE Conference Publishing Services, Las Vegas, 7–9 Dec 2015. ISBN 978-1-4673-9795-7/15,  https://doi.org/10.1109/CSCI.2015.84
  18. 18.
    Academy of Medical Sciences (2015a) Stratified, personalised or P4 medicine: a new direction for placing the patient at the centre of healthcare and health education (Technical report). Academy of Medical Sciences. May 2015Google Scholar
  19. 19.
    Academy of Medical Sciences (2015b) Stratified, personalised or P4 medicine: a new direction for placing the patient at the centre of healthcare and health education [Online]. University of Southampton Council; Science Europe; Medical Research Council. Available at https://acmedsci.ac.uk/viewFile/564091e072d41.pdf. Accessed 1 Dec 2017
  20. 20.
    Idelhauser J, Beez U, Humm BG, Walsh P (2016) A clinical decision support system for personalized medicine. In: Bleimann U, Humm B, Loew R, Stengel I, Walsh P (eds) Proceedings of the 2016 European collaborative research conference (CERC 2016), Cork, pp 132–145. ISSN 2220-4164Google Scholar
  21. 21.
    National Comprehensive Cancer Network (2017) Online. https://www.nccn.org/. Last Accessed 12 Jan 2017
  22. 22.
    Coym M, Humm BG, Spitzer P, Walsh P (2017) A dynamic product line for an electronic health record. In: Bleimann U, Humm B, Loew R, Regier S, Stengel I, Walsh P (eds) Proceedings of the collaborative European research conference (CERC 2017), Karlsruhe, pp 134–141, 22–23 Sept 2017. ISSN 2220-4164Google Scholar
  23. 23.
    Microsoft BizTalk Server (2017) Online. https://www.microsoft.com/en-us/cloud-platform/biztalk. Last Accessed 12 Jan 2017

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hochschule DarmstadtDarmstadtGermany
  2. 2.NSilico Life ScienceDublinIreland

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