DigiHealthDay-2021 @ DIT-ECRI: Global Digital Health - Today, Tomorrow, and Beyond

On Friday, November 12, 2021, the second edition of the international Digital Health symposium DigiHealthDay, will be hosted by European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT-ECRI). The event is endorsed and sponsored by the Bavarian State Ministry of Health and Care (StMGP), Healthcare Information and Management Systems Society (HIMSS), International Society for Telemedicine & eHealth (ISfTeH), International Medical Informatics Association (IMIA), European Federation for Medical Informatics (EFMI), German Society of Digital Medicine (DGDM), German Telemedicine Society (DGTelemed), Bavarian Telemedicine Alliance (BTA), Armenian Association of Telemedicine (AATM), City of Pfarrkirchen, Roche, Russian-Armenian University (RAU), People's Friendship University of Russia (RUDN), National Healthcare University of Ukraine (NHU), and DigitalHealthNews.eu (media partner).

This year, one of the key Digital Health events in Germany, ‘Munich Digital Healthcare Summit’ is partnering with DigiHealthDay and DIT-ECRI to beging a milestone partnership of future collaborative international event series in the region.

DigiHealthDay-2021 on Nov 12, begin with the welcome address by honorary Klaus Holetschek - Minister of State for Health and Care, honorary Bernd Sibler - Minister of State for Science and the Arts (Bayern), and other dignitaries; followed by keynotes, parallel sessions, impulse talks, and a panel discussion.

Distinguished experts at DigiHealthDay-2021 include Prof. Slyvia Thun, Prof. Rajendra Gupta, Prof. Brian Dixon, Dr. med. Filippo Martino, Ms. Tatyana Kanzaveli, Dr. Najeeb Al-Shorbaji, and Dr. Nathan Lea. The main highlight event of the year is the panel discussion "The Future of Digital Health Data: Achieving the Opportunities, Addressing the Anxieties, Responding to Risks" with panelist: Dr. Georg Muenzenrieder, PD Dr. med. Dominik Pförringer, Ms. Tatyana Kanzaveli, and Mr. Artur Olesch. The host for the discussion is Prof. Dipak Kalra.

Scientific Session, EFMI Session, Student Session, and CONEDIG session are hosted parallel. Speaking at the EFMI Session are Dr. Lars Lindsköld, Prof. Tomas Lindroth, Dr. Roberta Gazzarata, Prof. Mauro Giacomini, and Dr. Valentina Lichtner. In the Scientific Sessions, selected academic papers in Digital Health will be presented. The Students Session is the stage for recognizing sprouting talents. At CONEDIG Session, The Consortium of Educational Institutions in Digital Health (CONEDIG) will converse on educational reforms, goals, and challenges in Digital Health.

To know more about the future of healthcare, join DigiHealthDay@DIT-ECRI 2021 and many leading international experts from Germany, United Kingdom, United States, India, Hungary, Poland, Sweden, Italy and other countries.

For further information and to register, please visit:
https://www.th-deg.de/digihealthday

Everyone available to present and to join onsite to DIT-European Campus Rottal-Inn IN-PERSON is welcome. The following is applicable: the 3G rule (vaccinated, recovered, or tested) to be checked at the entrance, wearing FFP2 mask in the rooms if the minimum distance cannot be maintained. (*Subject to change at short notice depending on the official regulation).

Most Popular Now

Artificial Intelligence: Unexpected Resu…

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have "black box" character: How AI arrives at its results remains hidden. Prof. Dr. Jürgen Bajorath, a cheminformatics...

Printed Robots with Bones, Ligaments, an…

3D printing is advancing rapidly, and the range of materials that can be used has expanded considerably. While the technology was previously limited to fast-curing plastics, it has now been...

AI identifies Non-Smokers at High Risk f…

Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week...

Orchestrating the New World of AI in Hea…

Orion Health's UK and Ireland Customer Conference 2023 focused on the future potential and immediate, practical application of AI to healthcare - and gave delegates a first look at the...

Study Reveals Bias in AI Tools when Diag…

Machine learning algorithms designed to diagnose a common infection that affects women showed a diagnostic bias among ethnic groups, University of Florida researchers found. While artificial intelligence (AI) tools offer...

Researchers Take New AI Approach to Anal…

Researchers at Karolinska Institutet and SciLifeLab in Sweden have combined artificial intelligence (AI) techniques used in satellite imaging and community ecology to interpret large amounts of data from tumour tissue...

Medical AI Tool from UF, NVIDIA gets Hum…

A new artificial intelligence (AI) computer program created by researchers at the University of Florida and NVIDIA can generate doctors' notes so well that two physicians couldn't tell the difference...

Commission Opens Calls to Invest €42 Mil…

Today, the European Commission opened a new set of calls for proposals under the 2023-2024 Work Programmes of the Digital Europe Programme with a focus on advanced digital skills. The calls...

Bayer Championing Advancements in Radiol…

Bayer continues to advance its comprehensive Radiology portfolio with progress in the development pipeline of its investigational contrast agent as well as new innovations in the area of Artificial Intelligence...

MEDICA and COMPAMED: Medical Technology …

13 - 16 November 2023, Düsseldorf, Germany. After four days of business, MEDICA and COMPAMED in Düsseldorf delivered impressive confirmation that they are excellent platforms for the worldwide medical technology business...

AI Predicts Developmental Paths in Prema…

Researchers at UMC Utrecht have developed an AI model to predict long-term outcome in extremely premature babies early in life. The model can identify which infants might face intellectual disability...

AI Paves Way for New Medicines

A team of researchers from LMU, ETH Zurich, and Roche Pharma Research and Early Development (pRED) Basel has used artificial intelligence (AI) to develop an innovative method that predicts the...