Implications of Big Data for Individuals(4)

 Bilal Hussain Malik

                                              Implications of Big Data for Individuals

                                                         Healthcare Developments


Big data has revolutionized healthcare by giving doctors more precise, effective, and anticipatory treatment of patients. The collection and analysis of medical histories, genetic information, wearable sensor information, and social and environmental factors allow doctors to better understand each patient's unique needs. This facilitates personalized medicine, with the treatment regimen tailored around the genetic, lifestyle, and medical history of an individual, with improved results and reduced side effects.

For example, big data is able to predict the risk of long-term diseases like diabetes or cardiovascular disease, allowing prevention and early detection. Electronic Health Records (EHRs) allow doctors real-time access to compiled patient histories, reducing errors and improving coordination among specialists. During the COVID-19 pandemic, big data helped to trace contacts quickly, predict outbreaks, and distribute vaccines effectively.

Wearable devices such as smartwatches monitor heart rate, sleeping habits, and activity levels, allowing patients to glimpse their health and enabling doctors to receive rich continuous data. Diagnostic devices based on artificial intelligence screen imaging scans for diseases like cancer or eye disease more accurately and in certain cases sooner than human physicians.

But these advances bring with them issues. Health information is very sensitive and breaches in confidentiality can have serious privacy and trust consequences. 

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