Artificial Intelligence in Healthcare

How deep learning and blockchain transform the value of health delivery

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A global transformation is taking place in the healthcare sector. Governments and insurers are changing compensation systems to move from a volume-based to a value-based approach. Digitisation is at the heart of these efforts.
The availability and value creation of data can revolutionize the treatment of diseases and change health care in the long term. Individual, genetic and molecular biological characteristics can be taken into account for early detection, diagnostics and therapy decisions, and patients can benefit noticeably from more precise medicine.
The application of artificial intelligence (AI) on the basis of large data volumes offers fascinating perspectives. By applying smart algorithms in machine and deep learning, it opens up the opportunity to better identify high-risk patients and avoid unnecessary therapies.
AI algorithms can help to accelerate clinical processes, avoid diagnostic errors and optimize reimbursement.
A special role is played by people who can and want to play a more active role thanks to digital technologies. For example, they can participate from home via mobile health solutions and transmit medical values. This can lead to a better patient experience and therapy adherence.
The future is promising.

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