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IPSIBiM

Improved Patient Safety through Intensive Biosignal Monitoring

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 IPSIBiM project word cloud

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

thromboembolic    alarms    algorithms    limitation    consists    failures    clinical    additional    complications    difficulty    excess    novelty    performed    alarm    intensive    learning    recording    time    populations    acute    pain    venous    replacement    detection    disciplinary    warning    multidisciplinary    generally    record    team    intermittently    signals    setting    evaluation    of    manual    nursing    machine    monitors    clinicians    treatment    questions    ignored    detecting    ipsibim    false    prophylaxis    deterioration    vital    morbidity    innovation    patients    raises    monitoring    caring    ambulation    medical    care    post    operative    additionally    signs    building    mortality    orthopaedic    reliability    responding    wireless    rate    checks    models    outcome    recovery    expertise    observations    analytical    patient    principled    feasibility    usually    operation    despite    hospitals    safety    deriving    patterns    rehabilitation    referrals    staff    sensor    joint    guidance    automated   

Project "IPSIBiM" data sheet

The following table provides information about the project.

Coordinator
ASTON UNIVERSITY 

Organization address
address: ASTON TRIANGLE
city: BIRMINGHAM
postcode: B4 7ET
website: www.aston.ac.uk

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 http://www.mariecurie.astonblogs.co.uk/category/vania-almeida/
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ASTON UNIVERSITY UK (BIRMINGHAM) coordinator 183˙454.00

Map

 Project objective

Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration, leading to late intensive care referrals, excess mortality and morbidity, and increased costs. Joint replacement is a very common orthopaedic operation that raises additional clinical and safety questions. Caring for the orthopaedic patient requires a multidisciplinary team and treatment that includes: acute pain control, monitoring for post-operative complications venous thromboembolic prophylaxis, early ambulation, and rehabilitation. The major limitation of early warning systems is that they are based on manual checks performed by nursing staff, and that the observations, and therefore detection, only occur intermittently. Additionally, the false-alarm rate of such monitors is generally so high that the alarms are usually ignored. Despite recent developments in automated wireless systems that continuously record vital signals, a method for detecting patterns of deterioration that are specific to unique patient populations has not yet been studied. IPSIBiM targets the development of a system dedicated to post-operative orthopaedic patients monitoring based on wireless recording of real-time vital signs and analytical algorithms capable of providing guidance to clinicians of early signs of deterioration. The innovation in the project consists of four main elements: measurement of new vital signs in a wireless system; novel methods for deriving features and building models to measure recovery; automated pain measurement in post-operative patients; principled methods for novelty detection. The proposed concept will be implemented in a clinical feasibility study, where technical aims related to setting up the system, reliability and failures will be studied along with outcome measures for clinical evaluation. The research programme is highly multi-disciplinary as it will require expertise in sensor design, machine learning algorithms and medical applications.

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The information about "IPSIBIM" are provided by the European Opendata Portal: CORDIS opendata.

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