Main barriers to adoptation of Artificial Intelligence in healthcare.
Absence of a specific AI law, or clear legal framework from the perspective of both professional users (A) and patients (B).
When constructing such a framework, it is important to make a distinction between the various sub-areas of healthcare, such as research and development, professional care providers and recipients of care. Because each sub-area has different needs.
Barriers for professional users.
It is simply unclear for companies and private and academic research institutes in the medical sector what is and is not allowed in the field of AI, blockchain, computer & machine vision and robotics. Both at European level and at national level. This knowledge is important for the commodification of their inventions/creations. Two practical examples are permission from Farmatec and obtaining a CE-marking.
Requirements for sustained use of AI in healthcare.
Since traceability and transparency are key within any healthcare (and food-feed) system, blockchain could play an important role in sustained use of AI in healthcare.
A EU AI Directive or Regulation should be able to implement and/or adhere to principles of Eudralex (The body of European Union legislation in the pharmaceutical sector), Good Manufacturing Practices (GMP) and Good Distribution Practices (GDP) in particular.Read More