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Improved Patient Safety through Intensive Biosignal Monitoring

Total Cost €


EC-Contrib. €






 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.

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

Project "IPSIBiM" data sheet

The following table provides information about the project.


Organization address
postcode: B4 7ET

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 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


Take a look of project's partnership.

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


 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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