| | November 20199lifestyle-induced diseases. The digital devices that enable you to keep a regular check on your vitals, use data analysis to push people towards healthier lifestyles are widening possibilities for the prevention of diseases. The same data can be utilized to identify risk factors for the disease at population, subpopulation, and individual levels.Effectiveness and Quality of Treatments: Big Data has proven effective in earlier disease intervention, reduced probability of adverse reaction to medicines, and fewer medical errors. It is also helping the healthcare professionals and researchers to derive trend analysis of a particular disease profile and enhance the treatment impact. In the current scenario, 50 percent of the treatment is determined before patient visit, using the data available with the clinician leading to better quality and quicker treatment. The data also helps the caregiver to determine casualties and understand the co-morbidities.The historical data of a patient plays a crucial role in Big Data. Digitization of patient data makes the system reliable and accessible for immediate use. Critical factors like Genetic disorder and other warning signs can be tested, and health check-up packages can be customized to a patient.Easing Health-Related Research: Such a wide variety of useful data helps researchers to analyze and hypothesize findings, customized to a community, area, or group of people. Big Data is highly useful in population health where the same results can then be related to factors such as air pollution, water-borne diseases, increased use of pesticides, disease transmission pathways, infectious and chronic diseases, etc. Once patterns are identified and researched, remedial measures follow. These researches have been conducted in the past but were restricted in numbers and by numbers. Big Data is helping bridge this gap and enable researchers to conduct mass surveys and analysis with a broader test bed.The convenience of Service: Convenience experienced by the potential patients and healthcare institutions are the significant benefits of this cutting-edge technology. The access of analyzers to pick from available data and provide to the patient-relevant to them in a matter of few minutes is remarkable.Individuals now can avail consultations with the doctor through mobile applications specifically designed to address their queries as well as connect them to their respective caregiver for test and check-up reminders.Current ChallengesThe benefits and future of big data appear great, but structural obstacles lie ahead for big data and healthcare. The significant challenges are the technical skills required the ability to ensure compliance with all security measures, privacy, and patient confidentiality apart from some challenges at the very basic level of structured data inputs and change management. Big Data has proven effective in earlier disease intervention, reduced probability of adverse reaction to medicines, and fewer medical errors
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