ICW Presents Future Concept for E-Health in Europe

InterComponentWare AGInterComponentWare AG (ICW) presents its concept for the networked future of the European healthcare system at the stand of the Austrian EU Council Presidency at the European eHealth Conference, which will take place in Malaga from May 10 to 12. Besides the health ministers of the 25 Member States, the acceding and the EFTA countries, high-ranking delegations representing the healthcare, information and communication technology industry are invited.

Only companies and institutions that were involved in the introduction of the eCard in Austria are represented at the Council Presidency's stand. The Association of Austrian Social Security Institutions will provide information about the current status of the eCard here, for example. Based on this, ICW demonstrates its solution for the e-prescription and an electronic personal health record.

ICW member of the board Norbert Olsacher: "As one of the first EU countries, Austria has laid the foundation for the efficient networking of all physicians, pharmacies and hospitals with the introduction of the eCard. With the e-prescription and a personal health record, we now have to utilize the eCard infrastructure in order to further increase healthcare quality and drug safety. This way, we will create an e-health system in Austria that will have role model character for the EU."

InterComponentWare AG Deutschland
Otto-Hahn-Straße 3
69190 Walldorf

Dirk Schuhmann
Tel: ++49 (0) 6227-385-133
Fax: ++49 (0) 6227-385-199
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

www.icw.de
www.LifeSensor.de

InterComponentWare GmbH Österreich
Millenium Tower, Handelskai 94-96
1200 Wien

Bernhard Voita
Tel: ++43 (0) 1-24 02 74-45
Fax: ++43 (0) 1-24 02 74-47
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrea Stoick
Tel: +43 (0) 699-12 75 61 31
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

www.icw-global.at
www.LifeSensor.at

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...