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[Bigdata, artificial intelligence and blockchain for dummies].

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Area of Science:

  • Digital Health
  • Medical Informatics
  • Health Data Science

Background:

  • Digitalization is profoundly impacting all sectors, including medicine, leading to increased data generation.
  • The medical field faces challenges in managing vast and rapidly growing data streams from various sources.
  • Existing processes like medical imaging and documentation are increasingly digitized.

Purpose of the Study:

  • To introduce novel data management and analytical tools for the digitalization era in medicine.
  • To explore the application of natural language processing, artificial intelligence, and graph databases in healthcare.
  • To provide an overview of blockchain technology and its emerging non-monetary uses in medical data exchange and consent management.

Main Methods:

  • Review and introduction of advanced data processing technologies.
  • Explanation of natural language processing (NLP) for text data analysis.
  • Overview of artificial intelligence (AI) and graph databases for complex data structures.
  • Introduction to blockchain technology for secure data transactions.

Main Results:

  • Identification of key digital tools essential for managing large-scale medical data.
  • Demonstration of NLP, AI, and graph databases as crucial analytical solutions.
  • Highlighting blockchain's potential in secure medical data exchange and patient consent.
  • The paper provides a foundational understanding of these transformative technologies.

Conclusions:

  • Digitalization necessitates advanced tools for effective medical data management and analysis.
  • Natural language processing, artificial intelligence, and graph databases are vital for harnessing medical data.
  • Blockchain offers a promising avenue for secure and transparent medical data transactions and consent.
  • Adoption of these technologies is key to advancing digital medicine.