AI: The key to innovative collaboration with TPAs

The relationship between an insurance carrier and a third-party administrator can be complex and multifaceted.

Today, artificial intelligence (AI) and advanced analytics are making it possible to dig deep into narrative content, parse natural language, interpret its meaning and draw conclusions that can assist human actors in performing their jobs more effectively. (Credit: NicoElNino/Adobe Stock)

Third-party administrators (TPAs) can offer a cost-effective means to assist in claims management, particularly for those types of claims that fall outside of an insurer’s standard capabilities. That said, the relationship between an insurance carrier and a TPA can be complex and multifaceted, as both companies may have varying incentives and success measures. As such, a foundation of trust is integral to a successful partnership. Open communication, transparency and regular reviews for validation are a must for effective collaboration.

At QBE, we are fortunate to work with some of the best TPAs in the business. Those relationships work well largely because we are consistently mindful of what’s working and what’s not, and we’re always looking for ways to collaborate more effectively in a spirit of continuous improvement.

Carriers and TPAs alike can benefit from increased visibility of the metrics that shed light on claims management performance. It’s never a hands-off relationship, of course, nor should it be. Effective oversight is essential, but accomplishing that efficiently and at scale can be a challenge. For both carriers and TPAs, this calls for new ways of systematically monitoring, evaluating and improving collaboration.

Technology offers a path toward achieving those ends, and there are now means to manage information and automate workflows at scale, but until recently, those capabilities could only be applied to highly structured information such as customer records, invoices and ledger entries.

Today, artificial intelligence (AI) and advanced analytics are making it possible to dig deep into narrative content, parse natural language, interpret its meaning and draw conclusions that can assist human actors in performing their jobs more effectively. AI is especially adept at discovering correlation and predicting outcomes based on multivariate data. This combination of natural language processing (NLP) and predictive analytics offers game-changing capabilities with respect to claims management.

When it comes to managing TPA relationships in particular, AI provides some powerful advantages:

These are a few instances of how working with TPAs, particularly through the use of AI, can be valuable to carriers. That said, it can’t be overstated how essential a strong working relationship centered around effective collaboration is to a successful partnership. At QBE, we’ve seen the benefits resulting from strategic, thoughtfully managed TPA relationships. Even if you’re not routinely working with third-party administrators, though, today’s technology offers all sorts of distinct advantages for companies that are willing to invest in the opportunity. When done right, better results can be achieved, ultimately delivering improved services to customers when they need it most.

Dan Rufenacht is the vice president of workers’ compensation claims and TPA oversight at QBE North America. Dan has nearly 30 years of insurance industry experience and has been with QBE for the last seven years. His past roles included WC claims for carriers and self-insureds, management of carrier TPA engagements and other carrier transformation initiatives. Dan is an early adopter of transformational technologies and is passionate about finding better ways to manage claims to improve outcomes for all stakeholders. For more information, visit https://www.qbe.com/us

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