A European Blueprint for the Deployment of Telemedicine

The Momentum project has released the European telemedicine deployment blueprint to assist "telemedicine doers" introduce healthcare services at distance through information technology. Telemedicine can make healthcare delivery safer, better and more efficient and thus help address challenges to our healthcare systems, but it can disrupt conventional medicine. The blueprint for doers describes 18 critical success factors for telemedicine deployment with detail, context, indicators, and descriptions, including an attachment with case studies. The documents can be accessed here:

The Momentum blueprint builds on an earlier and shorter version of the 18 critical success factors that was released in May 2014. Since then, healthcare stakeholders from across the EU Member States joined dozens of conference presentations, moderated workshops and online fora to provide feedback on the critical success factors and to contribute to a more detailed and more refined document. The Momentum consortium added in-depth research and consolidated the document in the period since August 2014.

"This consolidated blueprint is the main deliverable of the Momentum project. It caps almost three years of hard work," says Diane Whitehouse, EHTEL eHealth expert and lead author of the document. "The whole consortium hopes that this blueprint will help telemedicine doers with their implementations, and make a substantive contribution to the body of knowledge on telemedicine deployment."

The Momentum project convenes telemedicine experts and stakeholders from more than 20 organisations in Europe. The project will end in January 2015, and the focus in the remaining weeks will be on building its legacy. This will include a Momentum self-assessment tool and a process to facilitate telemedicine deployment through stakeholder engagement; a thoroughly updated and revised website (which EHTEL, the project coordinator, is committed to maintain after the project end); and the online Momentum forum on LinkedIn that will continue to host discussions about Momentum themes and the online tool.

For further information, please visit:
http://www.telemedicine-momentum.eu

About Momentum project
Momentum is a thematic network designed to share knowledge and experience in deploying telemedicine services into routine care. Working together, Momentum's members who come from all corners of Europe will develop, test and finalise a blueprint for telemedicine deployment that offers guidance for anybody who seeks to move telemedicine from an idea or a pilot to daily practice. The project is funded under the ICT Policy Support Programme (ICT PSP) as part of the Competitiveness and Innovation Framework Programme of the European Commission, and runs from February 2012 to January 2015.

Most Popular Now

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...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...