The Entire Spectrum of Digital Health Care at the DMEA 2022

DMEA - Connecting Digital Health26 - 28 April 2022, Berlin, Germany.
From 26 to 28 April the DMEA on the Berlin Exhibition Grounds will present papers, an exchange of expert knowledge and workshops covering a wide spectrum of digital healthcare topics. The overall programme will provide the framework for discussions between more than 120 participants from science and practice on current and future subjects of vital importance in digital healthcare.

Trade visitors will be able to hear fascinating keynote addresses from speakers such as Kenza Ait Si Abbou, a multi-award winning expert on artificial intelligence and robotics, Dame Stephanie Shirley CH, a British businesswoman and philanthropist, and Dr. Päivi Sillanaukee, Ambassador for Health and Wellbeing at the Ministry of External Affairs in Finland.

Some fascinating speakers with backgrounds in research and practice will be represented at this year’s DME. They include Prof. Dr. Sylvia Thun, a professor at the Charité hospital in Berlin and Head of the Core Facility Digital Medicine and Interoperability at the Berlin Institute of Health (BIH). On 26 April she will be speaking about the current state of digitalisation in healthcare and the deployment of capability maturity models as an instrument of corporate strategy. On 27 April Dr. Christine Haas, Advisor at the Federal Institute for Drugs and Medical Devices (BfArM), will be addressing important issues on the subject of Systemized Nomenclature of Medicine Clinical Terms (SNOMED CT). This is intended to make future electronic patient files available for research and facilitate the recording of medical data. Dr. Alexander von Kameke, a physician specialising in medical IT at Kantonsspital St. Gallen, will use the session on "The deployment of artificial intelligence in medical care" on 28 April to speak on the subject of clinical decision-making support at the point of care for the management of diabetes in hospitals.

Parallel with an extensive range of events the trade fair will also feature presentations by more than 450 national and international companies from all areas of digital healthcare.

The DMEA also provides its visitors with advanced training seminars and job offers for newcomers to this field. Over 8,000 trade visitors are expected to attend this year.

The full programme of the DMEA 2022 can be accessed following registration, which is free of charge, from the link on the DMEA online platform at: https://plus.dmea.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.

Every year, the DMEA dedicates a separate program to the central topic of "young talent and careers".

In 2020 and 2021, the DMEA could only take place digitally due the pandemic. In 2021, more than 4.000 participants registered for the digital version of DMEA, and around 2.500 viewers watched the program items every day.

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 DMEA is organized by the Bundesverband Gesundheits-IT - bvitg e.V. (Federal Association for Health IT) and is hosted by Messe Berlin GmbH. The DMEA is also 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

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...