DESIREE Project
Published February 22, 2017 | Version v1
Poster Open

Augmenting Guideline-Based CDSS with Experts' Knowledge

Authors/Creators

  • 1. eHeatlh and Biomedical Applications, Vicomtech-IK4, Donostia-San Sebastian, Spain; Biodonostia, Donostia-San Sebastian, Spain
  • 2. NARU, Donostia-San Sebastian, Spain
  • 3. Computer Science Research Institute, Ulster University, Newtownabbey, United Kingdom
  • 4. Institute of Nursing and Health Research, Ulster University, Newtownabbey, United Kingdom
  • 5. AP-HP, DRCD, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, INSERM, Université Paris 13, Sorbonne Paris Cité, UMR S 1142, LIMICS, Paris, France
  • 6. Sorbonne Universités, UPMC Univ Paris 06, INSERM, Université Paris 13, Sorbonne Paris Cité, UMR S 1142, LIMICS, Paris, France; AP-HP, Hôpital Tenon, DSP, Paris, France

Description

In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.

Files

Augmenting_Guideline_Based_CDSS_with_Experts_Knowledge_NLarburu_Healthinf_2017.pdf

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Additional details

Funding

European Commission
DESIREE - Decision Support and Information Management System for Breast Cancer 690238

References

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  • Wöckel, A., Kurzeder, C., Geyer, V., Novasphenny, I., Wolters, R., Wischnewsky, M., Kreienberg, R., Varga, D., 2010. Effects of guideline adherence in primary breast cancer--a 5-year multi-center cohort study of 3976 patients. Breast Edinb. Scotl. 19, 120–127.
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