Predictive healthcare through technical analytics is the future of personalized healthcare.

Predictive analytics is the process of learning from historical data in order to make predictions about the future or any unknown. Combining genetic insights with a set of historical health data that is generated and controlled by a patientcan help modern healthcare professionals arrive at precise personalized solutions. Obviously, the significant benefits of using predictive analytics are better care and lower costs.

Predictive analytics is not about reinventing the wheel. It’s simply about applying what doctors have been doing all these years anyways. However, what has changed in this approach is the ability to better measure, aggregate and make sense of previously hard-to-obtain or non-existent behavioural, psychosocial and biometric data.

After the successful completion of The Human Genome Project, there is so much hope and excitement around the ability to personalize medicine to an individual’s genomic data. It has helped revolutionize the diagnosis, prevention and treatment of most, if not all, human diseases. For health care professionals, predictive analytics has enabled them to take the best decisions, allowing for care to be personalized to each individual.