2017 eHealth Competition Awards SilverCloud, Mediktor and MedicSen as the Best Digital Solutions in Europe

The eHealth Competition is an initiative that rewards the best digital health solutions produced by SMEs across Europe. This edition has been supported by Astrazeneca, Ship2B and Younoodle. This competition has three categories. Two of them depending on the turnover of the companies: Champions (SMEs with turnover more than 0.5 M€) and Promises (with less turnover). The third one is the special Diabetes track to reward the solution that best faces the management of the disease.

"The three winners have been selected from more than 100 European SMEs that submitted their solutions! Their added value: technology innovation, traction and short-term impact on patients and healthcare professionals," mentioned Jorge González, director of TICBioMed and organizer of the eHealth Competition.

The 2017 eHealth Competition first prizes have been awarded to:

Champion category - SilverCloud (Ireland) enables the delivery of evidenced based content, programs and support within the area of mental health and long term/chronic illness care.

Promise category - Mediktor (Spain) is the most accurate AI based mobile solution for triage, pre-diagnose and decision making support on-line. Help members avoid unnecessary visits to hospitals and support clinical teams make the safest, fastest and most cost-effective decisions.

Special Diabetes track - MedicSen (Spain), a non invasive artificial pancreas: artificial intelligence to personalize the therapy and non invasive drug delivery with a needle free patch.

During the Final, the SMEs had 5 minutes each to explain their solution in front of an international Jury panel of eHealth stakeholders and sponsors. The jury panel was integrated by Alberto Rubio (Government Affairs Manager, Astrazeneca, Spain), Marta Abella (Corporate affairs manager, Astrazeneca, Spain), Bart Collet (Partner at Advance, Healthcare and HealthStartup Europe, Belgium), Xavier Olba (Digital Health strategies & Open Innovation consultant, Spain), Laura Buguñá (Innovation Coordinator Mútua Terrassa, Spain), Sebastian Judez (Managing Director, AXA, Spain/France), Ilkka Tiainen (Apotti Ecosystem Expert, Finland), Gerard Valverde (Investor, Ship2B), Javier Villarreal Redon (Business development, IBM) and Alain Pujol (Board Member & International Relations, Angels Santé).

"I heartily recommend to all startups to participate in the eHealth Competition," says Bart Collet, one of the jury members of this edition, "the quality of the proposals has been outstanding and the level is increasing every year."

The Competition 2017 has been sponsored by:

  • Astrazeneca is a global, science-led biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines, primarily for the treatment of diseases in three main therapy areas - Oncology, Cardiovascular & Metabolic Diseases and Respiratory;
  • Ship2B private foundation helps entrepreneurs to accelerate projects and connect them with our investor community;
  • Younoodle , the platform that connects top startups with opportunities for growth.

The Competition Final took place at Barcelona as colocated event with Health 2.0 and Healthio.

For further information, please visit:
https://www.ehealthcompetition.eu

Related news article:

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...