Ziel
The overall goal of SmartMarker is the development of a commercial infrastructure that allows to transform heterogeneous patient health information, typically stored in multiple clinical and health IT systems, into standardized, comparable, consistent, and queryable data. The ultimate goal of this infrastructure is to conduct retrospective clinical biomarker validation studies and to foster effective treatments to marker-defined patient subgroups. Exploitation of the electronic medical records will allow pragmatic and low cost, but still robust and appropriate analytical retrospective study methods to measure the prognostic and predictive outcome of clinical biomarkers.
SmartMarker will dramatically ease the process of clinical biomarker validation in the cardiology domain. Ischemic heart disease is the leading cause of death in the developed world. The primary biomarker used to identify patients at high risk of sudden death is the ejection fraction. Brain natriuretic peptide is a useful biomarker for predicting the presence of heart failure, risk of readmission and mortality. However, only few biomarkers have been rigorously validated in clinical routine, and few of these markers have been integrated for identifying high risk cohorts in routine clinical practice. This led to a widening implementation gap between recommendations from national and international guidelines and actual routine clinical practice.
With SmartMarker we want to close this gap and achieve best-possible outcomes for the patients. We will validate the link between already existing clinical biomarkers in cardiology that are collected on a daily basis in the clinical routine and pertinent clinical endpoints. Finally, we bring forward effective treatments to marker-defined patient subgroups.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- natural sciencescomputer and information sciencesdata science
- medical and health scienceshealth scienceshealth care serviceseHealth
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesclinical medicinecardiology
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEINST-1-2015
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
79098 Freiburg Im Breisgau
Deutschland
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).