First Virtual DMEA to Open with a Wide Range of Topics

DMEA - Connecting Digital Health16 - 18 June 2020, Berlin, Germany.
Under the heading 'DMEA sparks' and taking place for the first time, this year's DMEA is an entirely virtual event. From 16 to 18 June 2020 a wide-ranging programme of events including panels, keynote speeches and webinars can be accessed on the new platform.

From the eHealth Hot Seat to the presentation of the Newcomer Awards

On 16 June DMEA sparks will kick off with numerous dialogue formats, including the interactive eHealth Hot Seat with gematik CEO Dr. Markus Leyck Dieken. Participants are invited to submit questions as of now. Also on the agenda are keynote speeches, including by Thomas Jarzombek, Commissioner for the Digital Industry and Startups at the Federal Ministry of Economics, and Prof. Jörg Debatin, head of the health innovation hub at the Federal Ministry of Health. Discussion rounds will examine topics such as cybersecurity in doctors' surgeries, the IoT, AI & Robotics: networked care management of the future and Corona Component Standards (cocos), an initiative which proposes implementing uniform data formats and standards for COVID-19 data.

Also on 16 June, the presentation will take place of the DMEA Newcomer Awards which honour the best theses by Bachelor's and Master's degree graduates of Medical Informatics, eHealth, Health IT, Health Management, Health Economics and Healthcare Management.

Companies present their portfolio and product solutions

On 17 and 18 June the focus will be on digital health companies, the designated Supporters of the event. More than 70 are taking part in the programme of DMEA sparks, including on virtual tours featuring key themes such as mobile health, telemedicine and IT in nursing care.

On days two and three of DMEA, the Supporters will also be contributing to the programme with a large number of webinars, live presentations and videos.

Digital health on demand

A wide range of content will continue to be available on demand on the DMEA sparks website until 15 July. Participation in the programme of DMEA sparks is free of charge and attendance numbers are not limited. However, prior registration by email is required.

For more information on DMEA sparks and in order to register free of charge, please visit:
http://www.dmea-sparks.de

About DMEA

DMEA is Europe's leading event for health IT which gathers decision-makers from every area of the healthcare sector - including IT specialists, physicians, hospital and nursing care executives as well as experts from politics, science and research. In 2019 a total of 11,000 trade visitors came to DMEA to find out about the latest developments and products, acquire qualifications and establish important industry contacts. The next edition of DMEA will take place from 13 to 15 April 2021 in Berlin.

DMEA is held by the German Association of Healthcare IT Vendors (bvitg) and organised by Messe Berlin. DMEA is organised in cooperation with the following industry associations: the German Association of Healthcare IT Vendors (bvitg), the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Medical Informatics Professional Association (BVMI). The National Association of Hospital IT Managers (KH-IT) and the Chief Information Officers of University Hospitals (CIO-UK) provide contributions on the subject matter.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...