DESIREE DEMO - a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer
Creators
- 1. 1) eHealth and Biomedical Applications, Vicomtech, Donostia-San Sebastian, Spain 2) Biodonostia, Donostia-San Sebastian, Spain
- 2. 1) eHealth and Biomedical Applications, Vicomtech, Donostia-San Sebastian, Spain 2) Biodonostia, Donostia-San Sebastian, Spain 3) Sorbonne Universités, UPMC Univ Paris 06, INSERM, Université Paris 13, Sorbonne, Paris Cité, UMR S 1142, LIMICS, Paris, France
- 3. 1) eHealth and Biomedical Applications, Vicomtech, Donostia-San Sebastian, Spain 2)Biodonostia, Donostia-San Sebastian, Spain
Description
Breast cancer is the most overspread cancer in
women worldwide, with around 1.7 million new cases every
year. Multidisciplinary clinical teams or committees, usually
known as Breast Units (BU), are heterogeneous teams
composed by all clinical specialist involved in the care of a
breast cancer patient (e.g. oncologist, surgeon, …) that aim to
discuss these complex clinical cases from all points of view and
in the shortest time to provide best health care. BUs base their
decisions on the Clinical Practice Guidelines (CPGs),
documents that summarize the latest and best evidence-based
medicine. Nevertheless, these documents have some knowledge
lacks that make them insufficient when working with complex
cases “out of the rule”, that may represent the 10-20% of the
cases. To cope with this pitfall, DESIREE proposes a unified
ecosystem that manages all the relevant information of the
patients and provides support to clinicians when making a
clinical decision in a personalized, collaborative and
multidisciplinary way. It is composed by three main
components: (i) an image-based breast and tumor
characterization tool, (ii) a predictive model after breast
conservative therapy and radio-biological model, and (iii) three
different clinical decision support systems (i.e. guideline-based,
experience-based and patient similarity based) that coexist and
complement each other to give most personalized and best
evidence-based recommendations to the BUs. All these are
supported by DESIMS (i.e. DESiree Information Management
System), a Security and Access Control module and an image
system for image and models visualization.
Notes
Files
CBMS19_3_Demo_N.Larburu_DESIREEdemo_Tech4cancer_Jun19.pdf
Files
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