The automated GenAI test framework allows us to build a robust database over time proving the accuracy, and showing he we respond to an extremely wide variety of difficult, ambiguous edge-cases, that would be hard and time consuming to replicate manually. It allows us to test for bias - something that is notoriously difficult to do.
Although Gen AI as we've seen can automate much of the testing process, our human experts still control the overall process, and human knowledge is still necessary to interpret the results, as well as making decisions about the results.
While much of the focus with Gen AI has been driven by the business logic of replacing high cost employees, we see that GenAI will create tremendous value to fundamentally improve patient outcomes and experiences as well as the inevitable streamlining of operations in underserved markets. Such a process allows us to focus and leave our healthcare teams focusing almost completely on patient welfare and outcomes.
Technology, as always is agnostic. What is important is how it’s used.