WNS on the trials and tribulations of data management

The company says that if business partners are able to harness health date with strong partnerships with the healthcare industry, new use cases will emerge as artifical intelligence (AI) is used correctly and effectively. 

We put a number of questions to Doctor Gauri Puri who leads the business for life science projects within the healthcare business unit of WNS.

What are the current flaws in managing health data?

We would refrain from using the term ‘flaws’ since we have progressed significantly in leveraging health data to provide better outcomes to patients while reducing waste in healthcare spending.

However, there are some challenges that we need to mitigate. Key among them are breaking data silos by integrating information from across healthcare and treatment systems; this includes aligning data from pharmaceutical and institutional research platforms, provider networks, diagnostics, omics studies, claims, and sales channels, among others.

Another is ensuring data democratization and interoperability by harmonizing data in a common format for seamless exchange. Furthermore, overcoming regulatory hurdles, augmenting data quality and privacy, ensuring accountability on the costs, and tacking the increasing variation in data types as more and more data sources gain prominence are all areas to keep a close eye on.

Meeting the demand for increased data frequency and real-time data, fueled by wearable devices and personalization trends is another area on our radar.

When, in your opinion, did data management and AI start to walk hand in hand?

Leave a Reply

Your email address will not be published. Required fields are marked *