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Artificial intelligence (AI) is influencing more of our lives every day. AI selects the articles that show up in our newsfeed; it helps run our homes and drive our cars. And now it’s making a difference in employer-sponsored health benefits.
Most employers share the common goal of providing employees with benefits that keep them healthy and productive. AI is already helping to save cost and add value at many benefit touchpoints – from open enrollment to HSA management to health care delivery – and has the potential to do much more. Accenture estimates that AI applications in healthcare will save the US healthcare economy approximately $150 billion by 2026. We see big opportunities for health AI in four major areas: digital health and telehealth; member engagement; medical diagnosis and procedures; and treatment recommendation and adherence.
But how do we get there? In a webinar last month, representatives of the National Academy of Medicine and the US Government Accountability Office cautioned that we still have some important things to figure out. While AI has huge potential to positively impact healthcare delivery and health benefits, there are serious risks as well. Governance must be in place to ensure the following risks are properly managed:
When considering using an AI program in healthcare delivery, it is important to analyze if it can be robust, private, and fair. There’s a theme here: the risks inherent in AI revolve around data quality and transparency. Different health systems gather data differently, and data transparency is something that employers struggle with today. Improving healthcare data will go a long way toward mitigating the risks of AI for employers and health systems.
When considering benefits solutions, employers need to ask vendor partners if and how AI is utilized, what outcomes are being realized, the quality of the data being used, and how the AI aspect may help the employer and members in the long run. Employers can also analyze their current suite of benefits to see how AI can help them fill gaps to accomplish their goals - perhaps an AI chatbot can improve the enrollment experience and foster better engagement? In these same conversations, employers need to ask pointed questions about the three governance topics above – diversity and bias, ethics, and transparency -- to ensure they have a well-rounded picture of how AI is influencing their members’ benefits.
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