REMINE

According to recent studies, Risks Against Patient Safety (RAPS) represent one of the most important factors of dead in hospitals: during therapy, more then 8% of patients recovered in hospitals suffer for additional disease that in almost 50% of the cases produce either dead or significant additional health problems. RAPS occur in any stage of the patient care process.

REMINE project idea originates from the common difficulty in conducting a analysis, early identification and effective prevention on RAP when there are significant mass of inhomogeneous data sources, stored in multimedia databases, and a distributed environments with different care professionals contemporary involved.

To contrast the RAPS trends and the malpractices diffusion, REMINE prosecutes a number of main objectives. a new technological platform, new care process organizational requirements. Main elements are: mining of multimedia data; modelling, prediction, detection of RAPS, RAPS management support system and info broker patient safety framework.

Main outcomes of REMINE will be: time reduction in collecting data, time reduction in RAPS analysis, standardization of common language, evolution in the interaction model, reference framework, patient safety improvement, health care cost saving (within an estimated RAPS reduction between 6% to 9% of RAPS.

For further information, please visit:
http://www.remine-project.eu

Project co-ordinator:
GMD - Gesellschaft für Medizinische Datenverarbeitung mbH

Partners:

  • INFO WORLD S.R.L. (Romania)
  • CONSORZIO PER L'INNOVAZIONE NELLA GESTIONE DELLE IMPRESE E DELLA PUBBLICA AMMINISTRAZIONE DENOMINATO ANCHE MIP (Italy)
  • The Rotherham Foundation Trust (United Kingdom)
  • Research in Advanced Medical Informatics and Telematics (Belgium)
  • Technische Universität Wien (Austria)
  • SEK-Suupohjan elinkeinotoimen kuntayhtymä (Finland)
  • SOLUZIONA, S.A. (Slovenia)
  • The Institute of Communications and Computer Systems (Greece)
  • QUALITY AND SYSTEMS CONSULTING LTD (United Kingdom)
  • QUALITY & RELIABILITY A.E. (Greece)
  • Aminio AB (Sweden)
  • Link Consulting - Tecnologias de Informacao S.A. (Portugal)
  • Hewlett-Packard Italiana Srl (Italy)
  • Regione Lombardia (Italy)

Timetable: from 01/2008 - to 12/2010

Total cost: € 7.728.249

EC funding: € 5.400.000

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Using AI for Early Detection and Treatme…

Artificial intelligence (AI) will fundamentally change medicine and healthcare: Diagnostic patient data, e.g. from ECG, EEG or X-ray images, can be analyzed with the help of machine learning, so that...

Waiting Times for Medical Admissions Red…

Clinicians at Bolton NHS Foundation Trust have dramatically reduced patient waiting times, decreased hospital length of stay and improved patient safety after developing an electronic acute medical list solution to manage patient referrals.  The configuration was initially set-up to track referrals and admissions...

AI Algorithm Solves Structural Biology C…

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine...

Accenture HealthTech Innovation Challeng…

Accenture (NYSE: ACN) has named eight companies as finalists in the Accenture HealthTech Innovation Challenge, which brings together leading-edge startups with prominent health companies to tackle some of North America's...

Researchers Use AI to Predict which COVI…

Researchers at Case Western Reserve University have developed an online tool to help medical staff quickly determine which COVID-19 patients will need help breathing with a ventilator. The tool, developed through...

Clinerion Patent for Technology Underpin…

The new Clinerion patent underpins any medical EHR database infrastructure that incorporates a hybrid model of cloud-and-local server node installations at individual hospitals, as well as any method for search...

Data MATRIX Introduces an AI-Operated Pa…

Data MATRIX, a sole Real-World Evidence solutions provider in Russia, has presented a predictive analytics tool for estimating patient survival based on Real-World Data. An important feature of the presented tool for...

Bittium Expands Its Minority Holdings in…

Bittium Biosignals Ltd, a subsidiary of Bittium Corporation, and British ECG service provider, Technomed Limited, have today signed an agreement under which Bittium will purchase a 25 percent stake in...

A Game Changer: Virtual Reality Reduces …

It isn’t a matter of one needle puncture. Many children coming through the doors of Children's Hospital Los Angeles are seen for chronic conditions and often require frequent visits. Painful...

Scientists Develop AI to Predict the Suc…

A study in which machine-learning models were trained to assess over 1 million companies has shown that artificial intelligence (AI) can accurately determine whether a startup firm will fail or...

Open Call HORIZON-HLTH-2022-IND-13-04: S…

This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 "Maintaining an innovative, sustainable and globally competitive health industry". To...

Ranking Apps on Privacy

The last thing you want to do when installing a new, free app on your phone is to scroll through pages of information on what kind of access to your...