FICHe Accelerator Awards 80 European eHealth SMEs and Startups

FICHeEuropean Union funded FICHe (Future Internet Challenge eHealth) accelerator program has selected 80 European health technology companies out of more than three hundred applications to the first phase of the project. Participation was open to all European eHealth small and mid-sized enterprises and startups eager to develop innovative applications in the eHealth domain using FIWARE technology. In the coming next weeks the 80 SMEs and startups are offered bootcamps, coaching and webinars. By the end of February they all have to deliver a clear business model of their innovation, present their team to the review committee and develop a plan to execute in the next phase of the program.

The FICHe project is a three phase accelerator program that will challenge handpicked applicants to create the best business model, go-to-market strategy, proof of concept, investors pitch and tested prototype. To reach the next phase, applicants have to be among the top 50%, ending with the best 20 that will make it to the final phase.

FICHe Coordinator Satu Väinämö, University of Oulu, is satisfied with high quality of applications selected in the program. Väinämö: "It is great to see also small startup companies with a simply brilliant business ideas enter the FICHe progam. I hope that small companies would keep their eyes and ears open for this type of opportunities also in the future."

In the first stage, companies are working on a two-month period to refine their idea into a business model. Each of them will receive funding of EUR 15 000, as well as training in bootcamps, the first of which took place at the end of January in Oulu, Finland. The other two bootcamps are held in Murcia, Spain and in Amsterdam, The Netherlands.

"The aim of the Bootcamp was to sharpen a business perspective of the companies. Real end-users from the PATIO-service, managed by CIE, participated in a user workshop where SMEs and startups interviewed them and got feedback to their ideas. This was a valuable opportunity for companies to get insight and ideas how to better meet the needs of end-users," says the leader of the first phase Mari Koskinen, Business Oulu.

Inforgraphic: https://infogr.am/fiche-results-2015

Related news articles:

About FICHe
FICHe provides companies with the overall funding of EUR 6.24 million for developing eHealth applications and creating sustainable business models. Funding will be distributed through a three-step process. In the first stage, companies will receive 15 000 euro for business model development. In the next phase, 40 out of the 80 companies will receive 50 000 euro for proof-of-concept. The third phase entering 20 out of the 40 companies will receive additionally 152 000 euro for working prototype development. At best, companies are therefore offered up to 217 000 euros funding.

FICHe is co-funded under the European Union’s Programme for research, technological development and demonstration. Project partners are University of Oulu, Business Oulu, TIC BioMed, FFIS de la region de Murcia, TNO, Amsterdam Economic Board, Stichting zorgInc., Dutch eHealth Fund Management BV and Stichting Digitalezorg.nl.

About FIWARE
FIWARE is an innovative, open cloud-based infrastructure for cost-effective creation and delivery of Future Internet applications and services, at a scale not seen before. FIWARE API specifications are public and royalty-free, driven by the development of an open source reference implementation which accelerates the availability of commercial products and services based on FIWARE technologies.

Most Popular Now

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

New AI Approach Paves Way for Smarter T-…

Researchers have harnessed the power of artificial intelligence (AI) to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...