Medallion named Quarterfinalist in the 2026 Digital Health & AI Awards. September 28, 2026 By Medallion Team Medallion has been named a Quarterfinalist in the 2026 Digital Health & AI Awards, in the Best in Class - Transformative Care Delivery category. The Digital Health & AI Awards, run by the Digital Health Hub Foundation, brings together innovators across digital health, AI, and healthcare technology and puts them in front of judges spanning healthcare, investment, technology, and clinical care. Medallion were recognized for the problem Medallion exists to close: the distance between a provider being hired and a provider seeing a patient. McKinsey estimates the administrative burden on U.S. healthcare at roughly $1 trillion a year, and a meaningful piece of that cost sits in a step patients never see - a provider can be hired, licensed, and ready to work, then spend weeks waiting on credentialing and payer enrollment before that first appointment happens. Medallion pairs AI-assisted automation with credentialing specialists to help close that distance, so healthcare organizations spend less time chasing paperwork and providers get to patients sooner. Nearly 500,000 providers already ran on Medallion before this year's acquisition of Andros - a combined platform that's grown meaningfully larger since. Medallion's customer, Tampa General Hospital, is one of the clearer examples of what that looks like in practice. The 1,040-bed academic medical center brought its credentialing turnaround down from 30 days to a median of three (a 90% efficiency gain) and realized an estimated $2.4 million in ROI within six months of working with Medallion. "This kind of work rarely gets a spotlight, so we don't take it lightly when it does. Every day we cut from that gap between hired and patient-ready is a day a provider gets to actually practice instead of wait," said Kyle Carbine, Chief Revenue Officer at Medallion. "It's good to see that it counts as more than back-office plumbing." Quarterfinalists advance to the next round of judging, with Finalists announced October 12, 2026. The competition culminates at the Digital Health & AI Awards Grand Finale on November 16 at HLTH in Las Vegas, where the 2026 Rising Star and Best in Class winners will be announced live. About the Digital Health & AI Awards. The Digital Health Hub Foundation is a nonprofit founded in 2017 on UCSF's campus in San Francisco. Its 30,000+ member ecosystem connects healthcare innovators, industry leaders, investors, clinicians, and researchers, and the Digital Health & AI Awards is one of its year-round programs recognizing the people and companies advancing healthcare through innovation. FAQ about the 2026 Digital Health & AI Awards. What are the Digital Health & AI Awards? An annual awards program run by the Digital Health Hub Foundation, a nonprofit founded in 2017 on UCSF's campus in San Francisco. Now in its eighth year, it recognizes companies and innovations shaping the future of healthcare, judged by leaders spanning healthcare, investment, technology, and clinical care. What's the difference between the Best in Class and Rising Star tracks? Best in Class recognizes organizations already making significant, sustained contributions to digital health - the track Medallion competed in. Rising Star highlights earlier-stage companies showing exceptional promise. Winners in both tracks are crowned live at the Grand Finale. What happens after a company is named a quarterfinalist? Quarterfinalists move into another round of expert judging. Finalists are announced October 12, 2026, then go through further review and pitch sessions before winners are revealed. When is the 2026 Digital Health & AI Awards Grand Finale? November 16, 2026, at HLTH in Las Vegas, where the 2026 Rising Star and Best in Class winners are announced live. For closing the administrative distance between a provider being hired and a provider seeing a patient - pairing AI-assisted automation with credentialing specialists to help healthcare organizations move providers into billable, patient-facing work faster.

AI credentialing deal targets provider network gaps at scale. Medallion's acquisition of Andros puts more than one million providers on a single credentialing platform. Credentialing delays have long been a quiet drag on health plan network performance. A new deal signals the industry is starting to address the problem at a different scale. Medallion, a San Francisco-based AI-assisted credentialing and enrollment platform, acquired Andros, a National Committee for Quality Assurance (NCQA)-certified credentials verification organization. Andros has served health plans, health systems, provider groups, and telehealth companies since 2013. The combined platform now covers more than one million providers across nearly 400 healthcare organizations and health plans, according to Medallion. When credentialing stalls, employer-sponsored plans end up with thinner networks than their directories suggest. Employees who cannot find an available in-network provider face out-of-pocket cost exposure, and the resulting member complaints typically surface at renewal. Medallion's own 2026 State of Payer Enrollment and Medical Credentialing report, based on responses from more than 550 healthcare leaders, puts a number to the delay cost. Among hospitals that could quantify the impact, one in five reported losing more than $1 million annually from delayed provider activation. The pattern they describe - credentialing backlogs limiting network capacity - is one benefits advisers encounter when plan directory accuracy becomes a dispute point at renewal. Medallion's own 2026 State of Payer Enrollment and Medical Credentialing report, based on responses from more than 550 healthcare leaders, puts a number to the delay cost. The report found that one in five hospitals able to quantify the impact reported losing more than $1 million annually from delayed provider activation. What gives the problem independent standing is regulatory. NCQA updated its credentialing standards effective July 1, 2025, cutting maximum verification timelines from 180 days to 120 days for accredited organizations and introducing mandatory monthly monitoring of all enrolled providers. Organizations currently failing 2026 NCQA review cycles are being cited specifically for non-compliance with those new requirements. Consolidating a fragmented process. The Andros acquisition is an attempt to bring credentialing infrastructure under a single AI-driven platform. Andros contributes NCQA certification and 13 years of health plan relationships. Medallion's platform handles primary source collection and provider outreach through automation, with credentialing specialists stepping in when the system flags exceptions. Andros customers will move to Medallion over time, with access to real-time status tracking alongside the automated workflow. The deal also shows a gap in where AI investment has gone in healthcare. According to Medallion's January report, only 12 percent of AI investments touch credentialing or enrollment, with most resources directed at clinical and patient-facing functions. That concentration has left the administrative infrastructure underpinning network accuracy largely manual. The consequences show up in plan performance data that benefits advisers can examine at renewal. When the directory is wrong. Outdated or incomplete credentialing creates the conditions for ghost providers: practitioners listed as in-network who are unavailable or no longer affiliated. Regulators have flagged ghost networks as a compliance risk, and employees encounter the problem when their coverage does not work as described. As recent coverage of provider data errors across health systems and health plans found, fewer than one in three health systems maintains a single verified source of truth for provider data. Those errors cascade into the AI-driven claims and network management functions health plans are actively investing in. That backdrop is why AI adoption across health plans without matching governance infrastructure compounds the credentialing problem rather than solving it. A platform that keeps provider records current at scale addresses a problem upstream of where most AI spending is currently focused. Financial terms were not disclosed. Bailey & Company served as exclusive financial advisor to Andros.