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This week was AHIP 2026 in Las Vegas, the annual convention hosted by the nation’s main commerce affiliation for well being insurers.
The 2-day occasion featured discussions spanning the healthcare panorama, from new trade commitments on prior authorization and the rising position of AI to ongoing debates over how you can stability pharmaceutical innovation with affordability.
CVS Well being spoke to CNBC about how the corporate is utilizing AI and different applied sciences to cut back administrative burdens and ship extra personalised, proactive care experiences.
Under are some highlights from the dialog with Katerina Guerraz, Aetna’s chief working officer and president of Medicaid, and Tilak Mandadi, CVS Well being’s chief expertise and expertise officer.
Actual-time information sharing might be a gamechanger
Guerraz stated a number of the healthcare system’s greatest ache factors might change into simpler to deal with over the subsequent a number of years as insurers and suppliers work to cut back administrative burdens and share information extra seamlessly.
She pointed to the trade’s present efforts to streamline prior authorization and different insurance coverage processes, however stated broader “interoperability” between payers, suppliers and different healthcare stakeholders might be the “greater factor that is going to rework this trade” within the subsequent three-to-five years.
“When anybody who’s within the well being ecosystem begins sharing information in actual time, that truly adjustments the whole lot,” Guerraz instructed CNBC. “You are not going by way of all these completely different intermediaries of people who find themselves processing completely different varieties of knowledge.”
That might assist sufferers entry care quicker, she added.
Conversational AI instrument might assist sufferers
CVS is betting that its conversational AI assistant, which launched within the fall on Aetna’s web site and cell app, will help members navigate the health-care system extra simply by answering questions, anticipating wants and lowering the necessity for customer support calls.
The assistant is designed to transcend the capabilities of conventional chatbots and automatic telephone programs, Mandadi stated. Somewhat than merely responding to a member’s query, the instrument goals to know what the particular person is attempting to perform and information them by way of the subsequent steps. For instance, a member asking whether or not a surgical procedure is roofed might additionally obtain details about anticipated out-of-pocket prices, prior authorization necessities and in-network care choices, he added.
“We all know why folks name us more often than not. So how can we remedy these and get them solutions earlier than they even have to achieve out?” Mandadi stated. “However then in the event that they do, the conversational AI is the one who can get it quicker.”
He stated it is a proactive method that offers members info earlier than they even have to select up the telephone – and the corporate advantages, too.
Mandadi stated the corporate’s pharmacy enterprise beforehand acquired greater than 500 million calls yearly, lots of which concerned easy questions such because the standing of a prescription. However immediately, roughly 75% of these interactions are totally resolved by way of conversational AI, permitting pharmacists and customer support staff to deal with extra advanced points, he stated.
Private AI assistant might anticipate affected person wants
CVS additionally envisions a future the place sufferers can have a “persistent” private AI assistant that actively manages and anticipates their wants in actual time, Mandadi stated.
That is one key function of CVS and Google Cloud’s Health100 platform, which is about to launch this yr.
The AI assistant would sit throughout a member’s insurance coverage, pharmacy, and scientific information and information well being selections over time, he stated. That instrument goes past immediately’s chatbots: Mandadi described a consent-based system that maintains a steady view of a member’s well being historical past, circumstances, medicines and advantages and makes use of that info to anticipate wants moderately than merely reply to questions.
It is one other instance of shifting health-care interactions from reactive to proactive, Mandadi stated. As a substitute of ready for members to name with questions or miss key steps of their care, the assistant would flag points upfront and recommend follow-ups and proposals in actual time.
He stated the objective is to cut back the “healthcare homework” sufferers usually need to navigate on their very own, resembling understanding advantages, managing persistent circumstances or protecting observe of appointments and medicines.
The assistant might even detect early warning indicators, resembling missed treatment refills or worsening well being indicators, and intervene earlier than they escalate into extra critical points.
He stated the system would finally combine a number of information sources, together with claims information, pharmacy data, digital well being data and doubtlessly wearable gadgets, if sufferers give their consent.
Mandadi stated that the assistant might in the end assist sufferers attain higher well being outcomes and scale back their out-of-pocket prices.
“That is the true great thing about it,” he stated.
