RIGHT

RIGHT project provides HealthCare Professionals of new Member States with a semantics-based solution accessible from a wide variety of mobile devices that will offer a complete access to information and possibility of sharing knowledge with all the levels of care in order to minimise medical errors in diagnosis and treatment.

Recent studies highlight that risks in diagnosis and treatment are one of the most important problems in the care management. Healthcare Professionals (HCP) not having protected environment such as hospital/clinics in where practice are even more subjected to these risks and in particular the HCP in the new Member States who are facing a series of healthcaresystem reforms; it rises therefore the necessity of an improvement of HCP skills/knowledge.

RIGHT project aims to:

  • develop a knowledge management system integrated with Electronic Healthcare Record (EHR) systems easy to be used by Healthcare Professionals of new member States;
  • provide meta-search functionality and retrieve information from multiple, distributed content sources in parallel;
  • end-users to access the system from a wide variety of mobile devices in order to make the interaction with the system available from any location;
  • guide HCP and medical students through a Decision Support System based on clinical guidelines issued by medical authorities;
  • make available to HCP information and contacts to face the common problem of an adverse geographical distribution that implies lack of contacts with specialized structures/doctors to share knowledge but also a variety of different clinical cases to face.

For further information, please visit:
http://www.mip.polimi.it

Project co-ordinator:
Consorzio per l’innovazione nella gestione delle imprese e della Pubblica Amministrazione (MIP)

Partners:

  • Reform (SI)
  • Oration (EL)
  • T-Service (I)
  • SWORD Technologies (LUX)
  • MEDISELL (CY)
  • University of Patras (EL)
  • Institute of Public Health of the Republic of Slovenia (SI)
  • Lower Silesia Voivodship (PL)
  • University Of Debrecen - Faculty of Medicine - Department Of Family Medicine (HU)
  • Cluj Association of Family Physicians (RO)

Timetable: from 01/06 – to 06/08

Total cost: € 2.974.406

EC funding: € 1.942.000

Instrument: STREP

Project Identifier: IST-2004-027299

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...