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

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...