DICOEMS

DICOEMS is a portable system to support the management of medical emergencies. It aims to bring together on-the-spot care providers and networks of experts, enabling more effective decision support and risk management in primary diagnosis, pre-transfer arrangements and treatment of critical situations.

The need for remote management of medical emergencies arises in a number of situations. DICOEMS focuses its efforts on accidents and natural disasters. Under such stressed and time critical conditions, the care provider (a medical doctor, nurse, paramedical personnel etc.) who is in charge of the patient needs a userfriendly utility to:

  • acquire critical medical data (such as vital signs) to assess the medical condition
  • offer appropriate first-aid
  • communicate the findings and patient status to a network of health experts - no matter where they are physically locatedand closely cooperate under their guidance for the effective management of the emergency
  • provide information about the geographic location of the emergency.

For further information, please visit:
http://www.dicoems.com

Project co-ordinator:
Synergia 2000 S.p.A (IT)

Partners:

  • Synergia 2000 s.p.a. (IT)
  • Association medicale europeenne (BE)
  • Lito hospital for women s.a. (GR)
  • Fraternita di misericordia milano (IT)
  • SSM computer systems limited (CY)
  • Guy's and st.Thomas' hospital national health service trust (UK)
  • Information management group (UK)
  • Azienda ospedaliera ospedale san Gerardo (IT)

Timetable: from 01/04 - to 06/06

Total cost: € 3.492.874

EC funding: € 2.000.000

Instrument: STREP

Project Identifier: IST-2002-507760

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...