The healthcare industry across the globe has taken a step towards predictive analytics tools and big data to understand not only COVID-19 but also other diseases, the risks involved and diagnoses. In European countries like France, with the advancement in technology and implementation of AI Machine Learning, there would be faster and improved treatment. The healthcare teams are taking all the steps to manage and allocate medical resources sufficiently.
Role of Data Analytics in the Healthcare Sector
The COVID-19 outbreak has compelled researchers to enhance data analytics tools to improve its impacts. Predictive analytics has further helped the healthcare sector prioritize better care management for patients who are at higher risks of infections. Consequently, it has led to greater demand for analytics. Medical Data Analytics in European countries is putting in their best efforts to streamline the analytical tools to optimise the accuracy of predictive analytics.
Self-testing tools
With the help of self-testing tools, users can detect symptoms and take medical care instantly without any delay.
Quicker discovery of drugs
Drug development is a time-consuming process as it takes a whole lot of time to reach the market. The chances of failure are also higher and it incurs higher costs. Today, many drug discovery companies are utilising these AI and ML tools to predict which drug is more effective in curing infections. With the help of AI and deep learning technology, you can develop antivirals that are cost-effective. The virus has not been eradicated even after advanced data and predictive algorithms. Yet there is hope.