CARE-PATHS

The goal of CARE-PATHS is to set up an intelligent operational environment for making Clinical Governance effective, to support Health Professionals, Clinicians and Care Operators in continually improving the quality of care, by enabling the methodology of "Clinical Pathways" to function, to be effective and to succeed.

CARE-PATHS addresses key implementation barriers to the methodology of Clinical Pathways. The project leans upon the concept of Clinical Pathways. A clinical pathway is a plan of care that is applied to patients with a known diagnosis and a predictable clinical outcome.

The implementation of Clinical Pathways is impeded for a series of reasons:

  • Defining Clinical Pathways requires a great deal of skill for finding and analyzing the "highest quality available evidence".
  • Clinical pathways must be brought up to date regularly. Even the best clinical pathways do not contain all the answers that will be needed. It is therefore necessary to maintain the care giver's knowledge up to date to be able to respond to any of the unanswered situations in a reasonable time.
  • Indicators must be set up to allow an analysis of how closely the pathway is being followed, of its results, of deviations. Once the results and deviations have been analyzed, and the latest scientific data has been studied, the clinical pathway should be modified and brought up to date.
  • Implementing clinical pathways might also face cultural and/or organizational challenges, such as resistance from doctors, lack of group work, and lack of interdisciplinary collaboration.

The approach adopted by CARE-PATHS is to exploit emerging technologies in knowledge management and semantic web for enabling the methodology of "Clinical Pathways" to function, to be effective and to succeed.

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

Project co-ordinator:
AIRIAL Conseil

Partners:

  • Airial Conseil (FR)
  • AGENZIA SANITARIA REGIONALE EMILIAROMAGNA (IT)
  • INSTITUTO DE APLICACIONES DE LAS TECNOLOGIAS DE LA INFORMACION Y DE LAS COMUNICACIONES AVANZADAS - ASOCIACION ITACA (ES)
  • Hitech SNT (GR)
  • GL2006 Europe (UK)
  • Patmos (IT)
  • AZIENDA OSPEDALIERA DI PARMA (IT)
  • FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE (ES)

Timetable: from 06/04 - to 11/06

Total cost: € 3.776.000

EC funding: € 2.200.000

Instrument: STREP

Project Identifier: IST-2002-507017

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...