Big data in medicine
How Big Data will Change Medicine for Doctor and Patient
Svetlana Maslova, Hi-tech+
Scientists have long been unable to imagine scientific breakthroughs without the use of big data analysis. Algorithms learn faster than doctors and are already changing approaches in laboratory and instrumental diagnostics. Now the experts have told us what will happen next.
Last week , experts and scientists from various industries gathered at Stanford University to discuss the near future of big data in the healthcare system. Big data tools for doctors today, first of all, facilitate routine activities, for example, the interpretation of electronic medical records.
For the patient, big data analysis means the development of faster and more effective diagnostic tools, as well as a new level of understanding of individual characteristics for health. For example, AI methods have already been developed that diagnose prostate and lung cancer at the level of specialists or even better than them. But there are other areas of development.
Alternatives and new medicines
With the help of big data analysis, scientists study the characteristics of certain groups of patients who do not respond to standard treatment. Vid data will help to assess a person's predisposition to treatment in advance and provide alternative measures for patients with special needs. In addition, personal data accounting will help in the development and testing of new medicines.
Personal data for prevention
Today, the largest biobank in the UK stores medical information about more than 500 thousand people, which is regularly used by many scientists as part of scientific research. These data are analyzed in order to identify certain patterns, which are then associated with the risk of developing specific diseases.
This information gives the patient a reason to better monitor their health in case of predisposition to diabetes, cardiovascular diseases, metabolic disorders and other problems.
It is difficult to overestimate the value of genetic data for assessing the risks of many diseases today. More than once, mass genetic testing is the main step towards personalized medicine.
DNA testing is useful both for prevention and for patients with already developing diseases – to determine the category and dose of a drug that will work exactly based on the characteristics of the body.
Need more data
Despite the successes of scientists in many fields of medicine, today science needs more personal data to study aging, sleep disorders, neurodegenerative, oncological and other diseases.
The problem is that only a limited set of medical institutions can guarantee such protection, and therefore there is a strong opinion in society about the harm of providing personal data to citizens.
So, because of privacy concerns, people refuse free genetic testing. There are other cases when companies voluntarily provide data to the state to reduce crime, but such situations only set people up against the good goals of scientists.
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