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

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...