New plan to incorporate digital tools within the health sector. The European Medicines Agency (EMA) and the Network of Heads of Medicines Agencies (HMA) have published a document that establishes a collaborative and coordinated strategy to maximize the benefits of Artificial Intelligence (AI) within the sector.
Specifically, the objectives of the work are to take advantage of the opportunities that the new revolutionary application will have within personal productivity, the automation of processes and systems , the increase in data knowledge and more solid decision making that benefits the company. public health.
The report pointed out that national authorities are increasingly betting more on combating the challenges involved in the integration of these new tools. In fact, it recommends a strategy divided into four points that, beyond recognizing the opportunities that accompany its implementation, emphasize the challenges that it will imply for the sector.
Read more about the strategy to use AI tool in the pharmaceutical sector, and find the most important business news of the day with our companion app Born2Invest.
National authorities are increasingly betting on combating the challenges involved in the integration of AI tools
The first of them is the support of AI in the life cycle of a medicine. In this direction, both organizations point out that work has already begun through a public consultation that is open until the end of the year. In fact, they have confirmed that, by 2024, preparations will begin to support the implementation of AI law within the European Union. This work is led by a group from the Committee for Medicinal Products for Human Use (Chmp).
The second point is aimed at facilitating the development of a collaboration network that keeps the sector alert to new trends reaching the market. For this reason, the EMA has planned to create a special area of interest on AI, which will result in the creation of a forum that will seek to facilitate the exchange of knowledge between different actors related to health.
The next question seeks to recognize and understand the new tools to ensure maximum efficiency , strengthening both the understanding and decision-making that your data facilitates. Regarding the new languages, the report indicates that their implementation must be staggered and monitored if their final productivity is to be guaranteed.
Finally, the plan highlights the need to experiment with new materials to ensure the acquisition of new knowledge , through cycles that will last approximately six months. After a first definition process, which will establish the main frameworks to be deployed, the different priorities will be aligned in a series of general frameworks and it will be decided which specific technical tools to adopt.
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First published in PlantaDoce. A third-party contributor translated and adapted the article from the original. In case of discrepancy, the original will prevail.
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