K4CARE

K4CARE combines the healthcare and the ICT experiences of several western and eastern EU countries to create, implement, and validate a knowledge-based health care model for the professional assistance to senior patients at home.

In modern societies, the care of chronic disabled patients at home involves life long treatment under continuous expert supervision that saturates European national health services and increase related costs.

K4CARE's main goal has been to design, implement and validate a new ICT knowledge-based Homecare Model by integrating skills, procedures and experiences of several eastern and western European countries as a contribution to the new EU society to manage and respond to the needs of the increasing number of senior population requiring a customised health-care at home.

Other more specific objectives:

  • Generate a new ICT Homecare Model (HCM).
  • Provide an Electronic Health Care Record (EHCR) to organise the information in the HCM.
  • Use the EHR to integrate information coming from different EU countries.
  • Provide an Actor Profile Ontology (APO) representing the profiles of the subjects involved in the HCM.
  • Provide a patient-Case Profile Ontology (CPO) representing related symptoms, diseases, syndromes, and case mix.
  • Define Formal Intervention Plans (FIPs) for a number of disease and syndrome treatments.

For further information, please visit:
http://www.k4care.net

Project co-ordinator:
Universitat Rovira i Virgili (ES)

Partners:

  • Universitat Rovira i Virgili (ES);
  • Centro Assistenza Domiciliare (IT);
  • Czech Technical University in Prague (CZ);
  • Universita degli Studi di Perugia (IT);
  • Telecom Italia Spa (IT);
  • European Reseach and Project Office (GE);
  • Ana Aslan International Foundation (RO);
  • Instituto di Ricovero e Cura a Carattere Scientifico Santa Lucia (IT);
  • Magyar Tudomanyos Akademia Szamitastechnikai es Automatizalasi Kutato Intezet (HU);
  • The Research Institute for the Care of the Elderly (UK);
  • Comune di Pollenza Macerata (IT);
  • General University Hospital in Prague (CZ);
  • Szent Janos Hospital of the Budapest Municipal Government (HU)

Timetable: from 03/06 – to 02/09

Total cost: € 3.727.430,00

EC funding: € 3.133.785,00

Instrument: STREP

Project Identifier: IST-2004-026968

Source: FP6 eHealth Portfolio of Projects

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...