PALLIANET

The PALLIANET project focuses on the improvement of collaborative practices in Palliative Care networks. It aims at setting up an Information and Communication system that will improve communication and real time access to information, thus enabling a Palliative Care Team to support allied professional care providers.

Palliative care is intrinsically multidisciplinary and can only be achieved through the development of collaborative practices in city-hospital networks consisting of:

  • A palliative care coordination team generally composed of a specialist medical doctor, a nurse, a psychologist and a secretary.
  • The city professionals: independents generalist and specialist doctors, nurses, other homecare actors such as social care actors, voluntary workers, homehelpers,...

    PALLIANET aims at improving collaborative practices in Palliative Care networks, in particular communications and real time access to information for healthcare professionals involved in these networks, in order to improve the quality of care services. The system will enable a Palliative Care Team to support allied professional care providers, both medical practitioners and non-medical professionals in:

    • Better understanding the patient's context (clinical, psychological and social dimensions),
    • Making relevant decisions in a complex and unusual context.

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

    Project co-ordinator:
    GFI

    Partners:

    • GFI Benelux (BE)
    • Airial Conseil S.A. (FR)
    • E-Net Solutions S.A. (GR)
    • Language & Computing Nv (BE)
    • Sword Technology S.A. (LU)
    • Guys' and St Thomas' Hospital - Palliative Care department (UK)
    • Nepale Palliative Care network (FR)

    Timetable: from 01/04 – to 06/06

    Total cost: € 4,221,000

    EC funding: € 2,350,000

    Instrument: STREP

    Project Identifier: IST-2002-507863

    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...