TABD Recommendation on Innovation

TABD8 May 2007 Berlin, Germany
This event is organised by the Trans Atlantic Business Dialogue (TABD) and is supported by the EU Commission and the US Department of Commerce.

Innovation drives economic growth and job creation through increased productivity. Innovation helps our economies adapt to challenges resulting from demographic change and the shift of economic gravity towards Asia. Therefore, enabling the formation of a Transatlantic Innovation Society must become a core element of the transatlantic partnership.

TABD recommends that the European Commission and the US Administration take action in the following areas to promote innovation:

HORIZONTAL PROPOSALS

  • Promote Intellectual Property (IP) Protection
    In addition to our recommendations outlined by the Intellectual Property Rights/Anti-Counterfeiting Working Group, TABD believes that IP-protection is essential to drive innovation. Therefore, the TABD urges the EU and US to ensure adequate IP protection for all types of inventions, including computer implemented inventions (CII), biotechnology inventions and across all 25 EU member states. We also recommend that the EU and US adopt a joint approach to ensure high levels of protection and enforcement of IP rights in third-countries.
  • Facilitate access to capital
    TABD urges the EU and the US to establish incentives for increased private-sector investment in research. TABD recommends the establishment of joint public-private partnerships, private venture capital funding and sustained transfer of technology between industry and academic research institutions.
  • Foster transatlantic innovation clusters
    TABD recommends intensifying technology transfer between industry and academic research institutions. TABD members urge continued strong support for innovation clusters, and deepening scientific and professional exchanges so as to create transatlantic networks of excellence.
  • Remove regulatory barriers
    TABD recommends using the Regulatory Cooperation Forum and acting upon its 2006 Recommendations. This will contribute to the innovation initiatives on both sides of the Atlantic by further minimizing unnecessary regulatory divergences. As noted in the TABD Economic Metrics Report released in June 2006, the removal of regulatory barriers would have a highly positive impact on both economies, resulting in a GDP boost to both economies of more than 3%.

SECTOR SPECIFIC PROPOSALS: HEALTHCARE

  • Recognize healthcare as an infrastructure component
    Healthcare must be seen as an infrastructure component in the EU and the US, coupled with the political will to tackle common healthcare challenges. To this end, TABD welcomes the EU's decision to provide funds for healthcare infrastructure to the new EU members (see 7th Framework Programme 2007-2013).
  • Establish a high-representative for e-health in Europe
    TABD recommends that the European Commission install a high-ranking representative for eHealth in Europe. The high-represenative should coordinate the eHealth activities of DGs and national Ministries of Health – similar to the "Office of the National Coordinator for Healthcare Information Technology" (ONCHIT) in the US. TABD recommends the EU and US engage in a transatlantic dialogue to select and rank preferred, globally-used standards.
  • Convene a healthcare summit
    TABD proposes that the US Administration and the European Commission convene a high-level healthcare summit with significant stakeholder participation from industry and governments. Focus: "quality up – cost down" in healthcare. Concrete examples should be used to show the benefit of e-health and other healthcare innovations.

HEALTHCARE SPECIFIC REGULATORY COOPERATION ISSUES

  • Internationalize standards
    TABD recommends that the US Administration and the European Commission commit to common global industry standards for the exchange of healthcare information. This will accelerate the deployment of eHealth and facilitate the Electronic Health Record.
  • Eliminate regulatory barriers to healthcare innovations
    TABD recommends streamlining the regulatory approval process in the US and the EU for core healthcare-related technologies (including healthcare IT, molecular imaging, medical nanotechnologies), including separating market approval from pricing/reimbursement decisions in order to bring innovations to the patient more quickly. Accurate and complete information about all healthcare issues, products and technologies should be strongly encouraged by government regulators and made accessible to patients.
  • Commit to a self-declaration process in the US
    TABD recommends that the US also use the European process of self-declaration by the manufacturers under the Medical Device Directive (MDD) to ensure the safety of software products.

FUTUREWORK

These Recommendations represent the initial TABD input to both the EU and US administrations' innovation policies. TABD suggests both governments initially focus on these priorities, which will be supplemented in the course of the coming months by additional recommendations to be developed in the area of energy efficiency.

The TABD looks forward to tracking progress and implementation of these recommendations and to contributing its business and technological expertise as needed.

For further information, please visit:

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...