Hit Paris 2009 - European Congress and Exhibition on Health Information Technologies

Hit Paris 200926-28 May 2009, Paris Expo - Porte de Versailles - Hall 7.3
Hit Paris, the European healthcare information technologies congress, was launched in 2007 on the initiative of the FHF (French Hospital Federation) in response to the need of Healthcare players for information and training in areas concerning the modernisation and development of information technologies. An integral part of continuous professional training, it has been constructed around three key words: quality, pragmatism and transversality.

The European Health Information System Congress is therefore designed to bring together all actors involved in the process.

  • Decision-makers and management teams, network leaders, public authorities, for whom information is a strategic resource and the information system an investment intended to create added value and develop performance.
  • Users (doctors, pharmacists, nurses and managers), and engineers (biomedical, hospital organisation, information system security...) for whom information systems represent a major issue in terms of security and quality of care for patients, at ward level, in networks or in outside hospitals.

Participate in the business rendez-vous for Hospital IT Systems:

  • 100 exhibitors
  • 1,400 congress participants
  • 14,000 visitors in synergy with GERONT EXPO-HANDICAP EXPO

Next door to the congress, the Health Information Systems trade show unites all of the consultancy, equipment, and editor businesses developing an information system for the health-care institutions. The congress participants have free access to the forum, as have all health professionals.

For further information and registration, please visit:
http://www.health-it.fr

Related news article:

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

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...

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 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...

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...

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...