Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology

Author:

Pablo Reyes-González Juan12,Roberto Díaz-Peregrino3,Victor Soto-Ulloa24,Isabel Galvan-Remigio25,Paul Castillo6,Elizabeth Ogando-Rivas27ORCID

Affiliation:

1. Department of Radiology , Hospital Angeles del Pedregal , Mexico City , Mexico

2. Department of Technology Innovation , hdm.world , Florida , USA

3. Institute of Biology, Otto von Guericke University , Magdeburg , Germany

4. Emergency Department , Hospital General #48, Instituto Mexicano del Seguro Social , Mexico City , México

5. College of Medicine , Universidad Nacional Autonoma de Mexico , Mexico City , Mexico

6. Division of Pediatric Hematology Oncology, Department of Pediatrics , University of Florida , Gainesville , FL , USA

7. Department of Neurosurgery, Brain Tumor Immunotherapy Program , McKnight Brain Institute, University of Florida , Gainesville , FL , USA

Abstract

Abstract In the last decades big data has facilitating and improving our daily duties in the medical research and clinical fields; the strategy to get to this point is understanding how to organize and analyze the data in order to accomplish the final goal that is improving healthcare system, in terms of cost and benefits, quality of life and outcome patient. The main objective of this review is to illustrate the state-of-art of big data in healthcare, its features and architecture. We also would like to demonstrate the different application and principal mechanisms of big data in the latest technologies known as blockchain and artificial intelligence, recognizing their benefits and limitations. Perhaps, medical education and digital anatomy are unexplored fields that might be profitable to investigate as we are proposing. The healthcare system can be revolutionized using these different technologies. Thus, we are explaining the basis of these systems focused to the medical arena in order to encourage medical doctors, nurses, biotechnologies and other healthcare professions to be involved and create a more efficient and efficacy system.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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