Big Data Analytics has found various uses in the healthcare sector. The most notable of them are the uses in the Electronic Health Records (EHR), Real-Time Alerting, and usage in the cure of cancer. But apart from these, there are various other critical uses of big data analytics in healthcare, like predictive analysis and informed strategic planning.
Predictive analytics is one of the biggest business intelligence trends. A US research collaborative called Optum Labs has collected EHRs of over 30 million patients to create a database for predictive analytics tools that will improve the delivery of care. This is done with a goal to help doctors make big data-informed decisions within seconds and improve patients’ treatment which is particularly useful in case of patients with complex medical histories, suffering from multiple conditions. New tools would also be able to predict, for example, who is at risk of diabetes and thereby be advised to make use of additional screenings or weight management.
The use of big data in healthcare allows for strategic planning as it gives a better insight into people’s motivations. Care managers can identify what factors discourage people from taking up treatment by analyzing check-up results among people in different demographic groups. Using Google maps and free public health data, the University of Florida prepared heat maps targeted at multiple issues, such as population growth and chronic diseases. Academicians compared this data with the availability of medical services in most heated areas and the insights gained from the data allowed them to review their healthcare delivery strategy and add more care units to most problematic areas.
As time progresses, big data analytics will find more and more uses in the healthcare sector. Advancements in the technology will help the researchers to further harness the technology and make better use of big data to help the world heal.