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IRIS Feasibility Study – Phase 1

Total Cost €


EC-Contrib. €






 IRIS-1 project word cloud

Explore the words cloud of the IRIS-1 project. It provides you a very rough idea of what is the project "IRIS-1" about.

public    recognition    thousands    stage    prompt    dynamic    re    incorporating    outcome    accepted    customised    post    failures    adaptive    innovative    prediction    lack    period    fraction    burden    successful    serious    continuous    risk    feasibility    human    reduce    intensive    thresholds    overwhelming    trust    amount    admission    complications    surgery    individual    alarms    rely    healthcare    respiratory    morbidities    detect    scoring    intervals    worldwide    health    time    patient    generate    limitations    hundreds    iris    euros    economic    millions    monitoring    personalised    disabilities    sustainability    intervention    chance    suitability    introduction    arbitrary    physiological    annually    identification    rinicare    renal    volumes    operative    care    predict    dimensional    survive    data    staff    severity    assist    clinical    surpassing    medical    rates    financial    calculations    hospital    interactions    solely    patients    die    heart    mortality    sensitive   

Project "IRIS-1" data sheet

The following table provides information about the project.


Organization address
postcode: LA1 2RX
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.1.3. (Treating and managing disease)
 Code Call H2020-SMEINST-1-2014
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-05-01   to  2015-10-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    RINICARE LIMITED UK (LANCASTER) coordinator 50˙000.00


 Project objective

The IRIS Feasibility Study – Phase 1 (IRIS-1) Project aims to assess the overall feasibility of the introduction of the Intensive-care Risk prediction and Identification System (IRIS), an innovative real-time patient monitoring and personalised risk prediction and identification system, into the healthcare sector. Thousands of surgery patients in Europe and worldwide die each year due to complications during the post- operative period and thousands more survive with disabilities, making the economic burden of post-operative complications in surgery patients amount to hundreds of millions of euros annually. It is widely accepted that early recognition of complications can reduce their severity and consequences: continuous patient monitoring systems and risk scoring systems are available but they lack suitability for patients in intensive care, trust calculations at time intervals, analyse solely a fraction of available patient data, cannot detect multi-dimensional trends, rely on arbitrary thresholds to generate alarms and cannot be customised for each patient. Thus, there are increased mortality rates and re-admission rates to hospital, contributing to the overwhelming financial and economic burden of public healthcare. Addressing serious morbidities, such as heart, renal and respiratory failures, and capable of surpassing human limitations in processing large volumes of patient data, IRIS is a real-time adaptive and dynamic patient monitoring and risk prediction and identification system, sensitive to variable interactions and capable of incorporating patient data to identify trends in individual patients’ physiological parameters that predict post- operative complications. Developed by RINICARE, IRIS will assist clinical staff to identify at an early stage serious complications in surgery patients, allowing a prompt medical intervention, thus improving the chance of a successful health outcome and contributing to the sustainability of the healthcare system.

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The information about "IRIS-1" are provided by the European Opendata Portal: CORDIS opendata.

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