From the impact of wearable technology to promote the potential of cancer research, big data technologies in healthcare caused a lot of buzz. However, the true vision of big data in healthcare is not the collection of personal data or the use of different applications, but the potential to create new resources for doctors in conjunction with healthcare data.

Big Data

New data source

In order to conduct recent research, researchers turned to data on social media to identify measures of stress by identifying hostile or negative language. They then converted the data into a color-coded map to predict the likelihood of heart disease at any given location. When researchers used maps created by traditional research to cross-check their findings, they found that the maps were almost identical. Based on these results, the researchers believe that using external data sources for big data research will be as reliable and fast as traditional methods.

Big data technology combined with healthcare can create unlimited potential

Predictive medicine

By combining different data sources, health care providers can better identify patients at risk for chronic disease and better recommend preventive testing and treatment. In addition to personal care, data can be used to identify potential disease outbreaks or hot spots, so the source of the disease can be quickly identified.

Improve the cause of the patient

The medical industry has been questioned for its poor management of patient records. Personal health data is often scattered across multiple files in different offices of a hospital, while electronically stored content is rarely shared among doctors. In addition, most health care data is currently unstructured, making it difficult to classify the data. By developing structured systems for tracking patient data, combined with data from physicians and other sources such as genetics and social media, healthcare professionals will have a complete picture of the patient, enabling them to make better judgments, And avoid costly mistakes.

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