DMEA Call for Papers: Connecting the World of Digital Health

DMEA - Connecting Digital Health9 - 11 April 2024, Berlin, Germany.
The call for congress papers at DMEA 2024, Europe's leading event for digital health, is open now. Candidates are invited to submit their abstracts for the DMEA congress on the DMEA website by 17 November.

Healthcare meets digitalisation: DMEA - Connecting Digital Health will be gathering everyone aiming to drive digitalisation in healthcare on the Berlin Exhibition Grounds.

Experts from business, science and practitioners will also at DMEA 2024 be able to actively shape the congress programme on all three days of the event. From now until 17 November they are invited to take part in the call for papers.

Who can take part?

The call for papers is open and free for anyone working on digitalisation in the healthcare sector, whether researchers, users in the medical and nursing field, startups or major companies in health IT.

The abstracts submitted must adress one of the 18 topics selected by the DMEA advisory committee for next year's event. They are:

  • Unlocking data treasures at all levels - the future of health data utilisation
  • Telemedical treatment and care models
  • From the TI to TI 2.0: next step or leap innovation?
  • Interoperability as a fundamental requirement for strategy and governance: challenges and solutions
  • Implementing information security in healthcare facilities - a secure and practical approach
  • AI and decision support in practical use - RELOADED
  • Impact of hospital reform on digitalisation
  • Change management in hospitals - The "digi-valley to efficiency peaks trail"
  • The electronic patient record for everyone: strong tailwind or just a mild breeze?
  • Cloud applications and other services for operating information systems
  • Digitalisation in nursing - continuity in care requires a sound information basis
  • Digital health and care applications: four years of DiGA and DIPA: lessons learned and next steps
  • Digital strategy in hospitals - what comes after the Hospital Future Act?
  • AI meets the Medical Device Regulation: will it protect patients?
  • Connected Health: networked medical technology for improved medical care
  • Hospital Future Act - end of funding, but no clear solution yet for operating costs
  • Green health - how can the healthcare sector drive a more sustainable future?
  • Opportunities through digitalisation

Information dates for the call for papers

On 24 October and 9 November all potential candidates are invited to attend an open Q&A session, where they can find out more about the application process, requirements, and get answers to any questions they may have.

The deadline for applications for the DMEA 2024 call for papers is 17 November. Afterwards, all abstracts will be assessed by a panel of experts consisting of representatives of associations, ministries, self-government, industry and science.

The candidates chosen will be contacted in early January.

Information on how to apply and further details on the call for papers can be found here: DMEA congress

About DMEA

DMEA is Europe's leading event for digital health, which gathers decision-makers from all areas of the healthcare sector, including IT specialists, physicians, hospital and nursing care executives as well as experts from politics, science and research.

In 2023 around 16,200 attendees gathered on the Berlin Exhibition Grounds, including 735 exhibitors from Germany and abroad and over 300 speakers.

In 2022, following two years of virtual events due to the pandemic, DMEA was able to take place once again as an in-person event on the Berlin Exhibition Grounds. Over 11,000 attendees, more than 500 exhibitors as well as 300 speakers from Germany and around the world took part in the event.

The DMEA is organized by the Bundesverband Gesundheits-IT - bvitg e.V. (Federal Association for Health IT) and is hosted by Messe Berlin GmbH. It is organized in cooperation with the industry associations GMDS (German Society for Medical Informatics, Biometry and Epidemiology) e.V., BVMI (Professional Association of Medical Informatics) e.V. and with the content-related participation of KH-IT (Federal Association of Hospital IT Managers) e.V. and CIO-UK (Chief Information Officers - University Hospitals).

Most Popular Now

Transforming Drug Discovery with AI

A new AI-powered program will allow researchers to level up their drug discovery efforts. The program, called TopoFormer, was developed by an interdisciplinary team led by Guowei Wei, a Michigan...

Maternity Tech Launched to Help NHS Meas…

Health tech provider C2-Ai has formally launched a new 'observatory' system to help hospitals gain a better understanding of risks, outcomes and safety within maternity and neonatal services. Announced at the...

We may Soon be Able to Detect Cancer wit…

A new paper in Biology Methods & Protocols, published by Oxford University Press, indicates that it may soon be possible for doctors to use artificial intelligence (AI) to detect and...

Health Innovation East Partners with Cog…

Health Innovation East, the innovation arm of the NHS in the East of England and Cogniss, a no-code ecosystem for digital health solutions, have announced a strategic partnership to launch...

Large Language Models Illuminate a Progr…

This study is led by Prof. Bin Dong (Beijing International Center for Mathematical Research, Peking University) and Prof. Lin Shen (Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational...

New Computational Model of Real Neurons …

Nearly all the neural networks that power modern artificial intelligence (AI) tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed...

Meet CARMEN, a Robot that Helps People w…

Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation - a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory...

AI Matches Protein Interaction Partners

Proteins are the building blocks of life, involved in virtually every biological process. Understanding how proteins interact with each other is crucial for deciphering the complexities of cellular functions, and...

AI Model to Improve Patient Response to …

A new artificial intelligence (AI) tool that can help to select the most suitable treatment for cancer patients has been developed by researchers at The Australian National University (ANU). DeepPT, developed...

Mobile Phone Data Helps Track Pathogen S…

A new way to map the spread and evolution of pathogens, and their responses to vaccines and antibiotics, will provide key insights to help predict and prevent future outbreaks. The...

Can AI Tell you if You Have Osteoporosis…

Osteoporosis is so difficult to detect in early stage it’s called the "silent disease." What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before...

Study Reveals Why AI Models that Analyze…

Artificial intelligence (AI) models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always...