“Prior authorization can be very onerous, with a lot of back and forth between payers and providers,” says Padarthy. “Generative AI can expedite this process while making it more transparent, help minimize unnecessary communications, and create more comprehensive submissions by bringing together clinical data that already exists from a variety of sources.”
Enabling more comprehensive and personalized patient care
Every generative AI–enabled optimization that makes providers more efficient, thorough, and attentive and makes payers faster in dealing with claims and providing coverage will inevitably benefit the patients they serve. However, there are also some ways patients can take advantage of generative AI tools to guide their own personal health journeys, explain Chakrabarty and Padarthy. For example, people with diabetes or other chronic conditions can use the technology, often provided by their healthcare providers or payers, in tandem with smart medical devices to generate real-time data that aids with self-monitoring and modulation. Health systems and payers have started embracing generative AI as a customer communication channel to provide detailed summaries of health information and customized recommendations on treatments, as well as to address a specific health concern.
“Some recent studies tell us that the bedside manner of chatbots is actually rated as better than that of a human doctor,” says Chakrabarty. “While the doctor is rushed because he or she is constantly under pressure to move onto the next patient, the chatbot can really take the time to understand the individual patient’s background and engage in a more involved way.”
Along with all the valuable use cases of generative AI comes a set of potential difficulties for healthcare leaders, mostly regarding broader concerns around ethics, privacy, and security. While there is no silver bullet to solve these complex problems, the issues can definitely be handled for specific application areas of generative AI. With these realities in mind, it is critical for organizations to carefully and strategically consider how they implement generative AI—and working with a trusted partner like Cognizant can help them in this effort.
“Our healthcare clients are at a stage where they are curious about how they can actively start using this technology,” says Chakrabarty. “We offer specific solutions and frameworks to think through functionality, safety, and the use cases that will actually generate business value.”
While there is no knowing what the next 10, or maybe even five, years of generative AI evolution will look like, healthcare leaders can act today to recognize the benefits of the technology for their businesses and patients.
“For the first time in history, we’re seeing computing systems achieve near-human levels of cognitive capability,” says Chakrabarty. “Generative AI is not just another tool to aid clinicians and physicians in their work. It is a technology that has the potential to be truly transformative for how we provide, consume, and finance healthcare.”
To learn more, visit the Generative AI section of our website or contact us.