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Big Data in Healthcare

The University of Chicago_052921C
[The University of Chicago]


- Overview

Big data is massive amounts of information that can do wonders. It has been a topic of particular interest over the past two decades because of the enormous potential hidden within it. Various public and private sector industries generate, store and analyze big data with the aim of improving the services they provide. 

In the healthcare industry, various sources of big data include hospital records, patient records, medical exam results, and devices that are part of the Internet of Things. Biomedical research also generates a large portion of big data relevant to public healthcare. 

These data require proper curation and analysis to obtain meaningful information. Otherwise, finding solutions by quickly analyzing big data is like finding a needle in a haystack. Every step of processing big data presents various challenges that can only be overcome using high-end computing solutions for big data analysis. 

That is why, in order to provide relevant solutions to improve public health, healthcare providers need to be equipped with the proper infrastructure to systematically generate and analyze big data. 

Effective management, analysis and interpretation of big data can be a game-changer by opening new avenues for modern healthcare. That's why various industries, including healthcare, are taking aggressive steps to turn this potential into better services and financial advantages. 

With the powerful integration of biomedical and healthcare data, modern healthcare organizations have the potential to revolutionize medical therapy and personalized medicine.


- Information Fusion and AI for Smart Healthcare

AI technologies are increasingly important in research concerning information fusion for healthcare.

With the rapid development of information technology and artificial intelligence, smart medical care has strong momentum of development. Smart medicine aims to promote human health and well-being throughout life by utilizing advanced technologies such as artificial intelligence. With the development of smart medical care, various sensors, equipment and communication technologies continue to generate medical big data.

In order to handle these multi-source big data, automatic information fusion becomes crucial. Information fusion refers to the fusion of multiple information sources to obtain more reliable, effective, and accurate information to support optimal decision-making.


[More to come ...]

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