CLINICIP

Improved survival chances for critically ill patients and increased efficiency and safety in clinical practice: CLINICIP clinicians and scientists have joined forces in order to develop an intelligent glucose monitoring and control system for critically ill patients.The CLINICIP system will help to improve the survival chances in intensive care units and to increase efficiency and safety in clinical practice.

Hyperglycaemia and insulin resistance are common in critically ill patients, even when glucose homeostasis has previously been normal. Recent medical studies brought evidence that treatment of high glucose levels with insulin will dramatically improve survival chances in these patients. However, treatment of glycaemia with target glucose levels close to physiological range is labour-intensive and although the cause/effect is well-known, the unmanageable workload and the prevalent fear of hypoglycaemiae among critical care physicians still prevent the general implementation of glycaemic control in the intensive care unit.

Therefore, the overall goal of CLINICIP is to establish glycaemic control on an automated basis in order to improve survival chances in intensive care units.

For further information, please visit:
http://www.clinicip.org

Project co-ordinator:
JOANNEUM RESEARCH Forschungsgesellschaft mbH

Partners:

  • JOANNEUM RESEARCH Forschungsgesellschaft mbH (AT)
  • Disetronic Medical Systems AG (CH)
  • Medizinische Universität Graz (AT)
  • Technische Universität Graz (AT)
  • Univerzita Karlova V Praze (CZ)
  • Royal Brompton and Harefield NHS Trust (UK)
  • Consiglio Nazionale delle Ricerche (IT)
  • SensLab Gesellschaft zur Entwicklung und Herstellung bioelektrochemischer Sensoren mbH (DE)
  • Gesellschaft zur Förderung der Analytischen Wissenschaften e.V. (DE)
  • GAMBRO Dialysatoren GmbH (DE)
  • Katholieke Universiteit Leuven (BE)
  • The Chancellor, Masters and Scholars of the University of Cambridge (UK)
  • B.Braun Melsungen AG (DE)

Timetable: 01/04 - to 12/07

Total cost: € 11.256.588

EC funding: € 7.500.000

Instrument: IP

Project Identifier: IST-2002-506965

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...