Commission discusses ways to improve information to patients

The European Commission's Health & Consumer Protection and Enterprise & Industry Directorates General recently launched a public consultation process to discuss ways to provide a practical and sustainable improvement of the information available to patients on health and treatment-related issues. The consultation focusses on a draft model package of information on a disease (using diabetes as an example) and quality of information principles. On the diabetes model the final aim is to have a methodology, principles and possible examples to provide a tool for stakeholders and Member States to take work forward at the national or regional level. Responses can be sent in up until Friday, 4 May 2007.

Following this consultation, the Commission will present the results of the exercise to the Pharmaceutical Forum's working group on information to patients, which will then prepare conclusions and proposals for the next high level Pharmaceutical Forum due to meet at the end of June 2007.

The Pharmaceutical Forum is a high-level political platform for discussion supported by a Steering Committee and three expert Working Groups. Its aim is to enhance the competitiveness of the pharmaceutical industry in terms of its contribution to social and public health objectives. The Forum brings together Ministers from all European Union Member States and from EFTA, representatives of the European Parliament, patients, the pharmaceutical industry, health care professionals, and insurance funds.

More information on the consultation process and all related documents can be found at:
http://ec.europa.eu/health/ph_overview/
other_policies/pharmaceutical/pharma_consultation_en.htm

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...