The IT @ Networking Awards 2010 - Open Competition for Healthcare IT Solutions

The IT @ Networking Awards 2010The IT @ Networking Awards 2010 (IT @ 2010) is an open competition for fully implemented, operable healthcare IT solutions. The goal is to raise awareness of some of the world's finest and most innovative local, regional and national healthcare IT projects.

Recognition
High-tech, high-cost medicine; ageing populations; patient mobility and staff shortages are only some of the challenges healthcare providers face today. Intelligent IT solutions increase cost-effectiveness, productivity and safety and help healthcare facilities to confront these problems. IT @ 2010 brings these innovations into the global spotlight and provides them with the recognition and media attention they deserve.

Their stories will inspire others, proving that challenges can be transformed into future opportunities and success stories.

Novel and Interactive
The core aim of IT @ 2010 is to learn from the mistakes and achievements of different top IT installations. Our unique peer-to-peer voting system empowers daily users such as CEOs, CIOs, CMIOs, hospital and IT managers to vote for their preferred projects, as they are best placed to judge the real value of projects.

First Day - MindByte Session
All Nominees will present in the MindByte, a five minute introductory presentation followed by a lively five minute Q&A. The qualifying audience will vote immediately after each presentation according to the voting criteria for their favourite solution.

Becoming a Nominee is a huge achievement and each will be awarded the prestigious IT @ 2010 Nominee Silver Medal.

Second Day - WorkBench Session
The nine top-rated Nominees will progress as Finalists into the next day WorkBench, a 30-minute in-depth presentation followed by a 15 minute Q&A discussion, providing the audience with a thorough understanding of the project. The qualifying audience will vote immediately after each presentation to choose the winners. Finalists will be awarded the prestigious IT @ 2010 Finalist Gold Medal.

The Prize
The top three IT solutions will be awarded a prize.

THE WINNING PROJECT WILL RECEIVE:
The IT @ Networking Awards 2010 Trophy;
A cash prize of € 5,000;
Media promotion in Europe's leading healthcare management media worth € 50,000.

THE 2ND PROJECT WILL RECEIVE:
The IT @ Networking Awards 2010 Trophy;
Media promotion in Europe's leading healthcare management media worth € 25,000.

THE 3RD PROJECT WILL RECEIVE:
The IT @ Networking Awards 2010 Trophy.

How to submit your project?
All entries must already be implemented in at least one site and must be fully operable. All projects must be presented in accordance to the voting criteria. The maximum length of the abstract is 300 words.

For your chance to win, please enter your submission through www.conftool.com/itawards2010

Submission deadline for the Abstract is 25 June 2010.

All project submissions (Abstracts) will be presented to the IT @ 2010 Review Committee. This Review Committee will decide the top 25 IT solutions that will become Nominees and will take part in the MindByte Session.

Submissions without any commercial interest or any link to healthcare service providers are free. All the others are charged a one time registration fee of 1000 EUR.

All nominees are required to submit a 5 minute PowerPoint or Keynote presentation for the first MindByte Session. This is your chance to explain to the audience what differentiates your solution and what makes it special.

Submission deadline for the MindByte Presentation is 31 August 2010.

As a nominee you are also required to submit a 30-minute presentation for the second day WorkBench Session.

Submission deadline for the Workbench Presentation is 20 September 2010.

For further information and registration, please visit:
http://itandnetworking.org

Most Popular Now

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...