Asklepios Future Hospital (AFH) Conference

Asklepios Future HospitalDiscussing innovative solutions and new technologies, pooling strengths to tackle new challenges - the key purposes of AFHdialogTAGE, the Asklepios Future Hospital (AFH) Conference. The two-day specialist conference will be held in Berlin on January 28 and 29, 2008.

Asklepios Future Hospital is among the world's largest healthcare system innovation programs, with a partnership network currently numbering over 20 leading industrial companies and healthcare cost carriers. AFH’s goal is to advance the development of healthcare technology, while promoting and driving the evolution of views and attitudes and the accompanying innovation process, which introduces changes to traditional models and systems, presents them for discussion and, where necessary, engineers their gradual withdrawal. AFH makes a firm commitment to standardized, networked thought processes in the healthcare system.

Experts, management leaders from the fields of business, technology and medicine and healthcare visionaries meet to discuss eHealth solutions in telemedicine, hospital processes, home care and innovation. Specialist lectures, panel discussions and joint workshops address seminal future-oriented themes of healthcare economy in practical terms, focusing on solutions and strategies already in operation or slated for testing in the near future.

The conference programme will focus mostly on topics which contribute to connecting eHealth tools and users:

  • between clinics, cities, regions (national and international),
  • between players in healthcare as patients, healthcare professionals, healthcare providers, health insurance providers, public health actors, educational and research institutions and politicians.

In terms of content, AFHdialogTAGE will continue along its previous successful lines, with the first day planned to focus on experts’ talks and panel discussions. The core goal of AFHdialogTAGE is to present practical approaches and solutions to eHealth issues. The individual lectures, discussion topics and ideas for solutions are divided into following four core categories:

  • Telemedicine
  • Clinical Processes
  • HomeCare
  • Innovation

These categories will be examined in more depth in workshops held on the second day.

For further information and registration, please visit:
http://www.asklepios-future-hospital.com/english/events/AFHDialogTage.asp

About the Asklepios Future Hospital
Introducing sustained restructuring to healthcare systems demands both a new quality of cooperation on the part of all those involved and a significant intensification of communication and cross-border knowledge transfer. Against this backdrop, information technology takes on increasing strategic significance. In response to growing pressure on the healthcare system, Asklepios Clinics joined forces with Intel and Microsoft to establish the “Asklepios Future Hospital“ (AFH) Program. Until today more than 20 companies have joined the alliance – such as Bosch, healthcare insurance company DAK, HP, T-Systems, CompuGROUP, McKesson Technology Solutions, SAP, B. Braun, Conworx, Dimension Data, DOCexpert, Dräger Medical, EMC, MCS, Fujitsu Siemens Computers, Fujitsu, HanseVision, Lufthansa Systems, Patrise, SyynX and WelchAllyn. For more information, visit www.asklepios-future-hospital.com.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...