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Connected Health: from data management to AI

  • October 18, 2023
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The health is without a doubt one of the sectors that makes the most and best use of technology development. Research, disease treatment and also management significantly affect

Connected Health: from data management to AI

The health is without a doubt one of the sectors that makes the most and best use of technology development. Research, disease treatment and also management significantly affect the life and daily life of the patient, so all investments in the implementation of digital transformation solutions in this sector are undoubtedly successful.

However, There are many peculiarities to consider. when we talk about the implementation of IT solutions in the field of healthcare, which complicates the selection process somewhat. And if we talk about connected health care, we have to be even more careful in the selection process, because as is known and for completely logical reasons, the level of protection of this type of data is one of the highest in different countries. regulatory framework.

So it may seem like a question of whether the effort is worth the reward, but it’s actually not the best approach. The key is to ask yourself Is there a solution that adapts to the needs of this sector? What do I need to advance in digitization? How cutting edge are the options today? And the answer to all these questions can be found in the document “Connected Healthcare: from data management to Artificial Intelligence”, the document in which you can find all the answers.

In this complete document that you can download completely freewe take an in-depth look at what infrastructure based on the HPE ProLiant Gen 11 platform with AMD processors, taking into account its unique value proposition, contributes to the improvement of services in the healthcare sector and therefore to the health and well-being of its users.

To this end, we pay attention four points especially:

  1. What technological tools improve the protection and confidentiality of data as sensitive as medical records.
  2. How can we ensure the integration of different sources of information and the centralized management of huge volumes of data.
  3. How to build an efficient, fast and secure platform to maintain the quality of telemedicine consultations.
  4. What role does artificial intelligence play in improving the interpretation of medical images?

Even a quick reading of them helps us a lot to project in no time a huge number of improvements that can be applied to processes and procedures using the tools that the advanced infrastructure makes available to us. And thanks to this guide, you will see that despite the complexity of the industry, implementing these solutions can be easier than it seems, and of course, open the door to the healthcare services of the future.

Source: Muy Computer

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