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Medallion, AI Health Coaches, and the Science of Confabulation Elimination
August 25, 2025
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Together with
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“Sometimes boil-the-ocean roadmaps don’t make soup – they just kill off the guppies that might’ve grown into big, impactful fish.”
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Duke Orthopedic Surgery Executive Director of AI Christian Pean, MD
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Medallion keeps building its case to be the go-to platform for provider network management by locking in another $43M and unveiling the industry’s first national credentialing clearinghouse, CredAlliance.
Less friction, more healthcare. Providers have to jump through countless operational and compliance hoops before they can start caring for patients, and Medallion specializes in AI-powered hoop jumping.
- Medallion helps automate away the back-office workflows that delay care – and revenue – such as credentialing, enrollment, and monitoring.
- The platform not only onboards providers 40X faster (cutting intake time from 8 days to under 2 hours), but it also serves as a unified system of record that allows customers to verify credentials, stay in-network, and connect patients to care more efficiently.
Own the market by shrinking it. There’s roughly 4M credentialed providers in the U.S., and they’re each contracted with an average of 19 payors. That adds up to about 25M times a year that providers need to get credentialed.
- The launch of CredAlliance will allow payors to verify providers once and syndicate results, eliminating duplicative work and reducing costs for everyone involved.
- It also has the potential to both eliminate $1.2B in duplicative spend annually and shrink the exact market Medallion exists to serve. That’s a risk it’s willing to take.
Where do we go from here? The fresh funds will bring Medallion’s AI automation to thousands of state-, provider-, and payor-specific workflows, while simultaneously scaling CredAlliance across more payors.
- CredAlliance already has dozens of payors signed on, and it’s in talks to bring on five of the nation’s 10 largest health plans.
- If that ends up making credentialing so efficient that there’s less of a need for automation, we’ll chalk it up as a good thing for the industry and Medallion will be just fine (enterprise ARR is up 106% in the wake of launching three new products – Privileging, Integration Engine, and CAQH Management).
The Takeaway
Medallion had a front row view of the wasteful spending in the credentialing trenches, and it raised $43M to help eliminate it with the first national credentialing clearinghouse. Bravo.
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Achieve Ambient AI Scale With Abridge
According to a new report from MIT, 95% of generative AI implementations fail. At Abridge, we have helped 150+ health systems scale ambient AI to tens of thousands of clinicians—many in a matter of weeks. For the first time ever, we are sharing those steep adoption curves at partners, along with impact metrics and testimonials from 19 health systems. If your ambient AI implementation isn’t scaling at speed, Abridge can help.
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Supporting Sustainable GLP-1 Weight Loss With Withings
Leading digital health companies and health systems are supporting safe and sustainable GLP-1 weight loss with Withings Health Solutions. See how care teams are using Withings’ suite of remote patient monitoring solutions to prevent muscle loss, combat plateaus, and drive better outcomes for their patients.
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- Twin Health Lands $53M: Digital twin trailblazer Twin Health landed a $53M growth investment to help employers and health plans meet growing demand for responsible GLP-1 strategies. Twin equips each member with an AI digital twin built from thousands of data points across biomarkers, behaviors, and preferences, enabling real-time guidance to help them achieve their health goals. The funding arrives days behind a landmark study in NEJM Catalyst that found Twin’s twins significantly improve outcomes for patients with type 2 diabetes, while also reducing reliance on costly medications.
- OpenEvidence Debuts Visits: OpenEvidence kept its hot streak alive with the launch of Visits, a clinical assistant purpose-built for the patient encounter. Visits can deliver medical evidence, draft clinical notes, and surface relevant guidelines – all for the same cost as Doximity’s scribe (nada). The initial verdict from actual users? Beautiful interface and overall experience, “assuming they work out the bugs.”
- The Science of Confabulation Elimination: Abridge put on a masterclass in transparency with its latest interactive whitepaper, which breaks down its novel system for finding and fixing hallucinations before final clinician review. The tech combines a task-specific model for detecting unsupported claims in draft documentation with an automated error-correction system that leverages both the transcript and EHR context. The layout of the whitepaper was almost as beautiful as the performance metrics – Abridge catches 97% of hallucinations, compared to just 82% for GPT-4o.
- Fitbit AI Health Coach: Google introduced a new Gemini-powered health coach for its Fitbit wearables that delivers personalized health insights directly through the redesigned app. Outside of the to-be-expected fitness features like customized exercise routines and workout suggestions, the coach includes some cool new algorithms to help optimize sleep duration and stage based on individual needs. It also offers a GenAI chat to help users answer questions about any of the device data.
- Device Data for Sleep Support: In separate but related Google news, a new study in Nature found that a certain Gemini-powered health coach was effective at turning data from wearables into personalized insights. Researchers had 4,163 Fitbit users complete surveys on their sleep habits over a four week span, then tested Google’s Personal Health LLM on whether it could predict the self-reported outcomes from their device data. The charts with the results looked great, were difficult to interpret, and apparently convey the fact that the LLM did a great job.
- Did Epic Pick the Wrong Horse? Sergei Polevikov’s always-excellent AI Health Uncut broke down why Epic may have picked the wrong horse in the AI scribe race. Epic’s decision to have Microsoft Dragon Copilot tackle its ambient documentation will apparently warrant some major product enhancements to justify the EHR-native scribe over better-performing solutions. Head-to-head testing shows that the rest of the ambient pack currently outperforms Microsoft in both pure scribing and RCM, but “if anyone can pull off a late-stage heist, it might be Microsoft.”
- Cascala Seed Funding: Cascala Health bagged $8.6M of seed funding to support post-hospital care transitions with the magic of AI. The platform summarizes patient data so nurses, pharmacists, and other caregivers can easily identify any obstacles to continuous care, while also flagging missing information and automating outreach to fill in the gaps. Cascala is reportedly already deployed in 1,000+ ACOs and post-acute providers.
- Robo-Recalls: As attention continues turning to the safety of medical AI, a study in JAMA Health Forum examined FDA recall rates for AI-enabled medical devices. Researchers analyzed 950 AI products, almost all cleared through the 510(k) pathway, and found that 6.3% have had a recall event. Over 43% of recalls occurred within 12 months of product authorization, almost double the rate for all 510(k) clearances. Recall rates were higher for AI from public companies (OR = 5.9) and algorithms without clinical validation (OR = 2.8).
- Develop Series A: Develop Health banked $14.3M of Series A funding to fuel the next stage of growth for its benefits verification and prior authorization platform. The EHR-integrated GenAI platform is geared toward improving medication access, and Develop earmarked the funds to help more digital health companies navigate the pharmacy benefit space while expanding its integrations with EHRs and PBMs.
- Eleos OBBBA Scanner: Behavioral health-focused scribing startup Eleos debuted a new tool to proactively detect potential changes to Medicaid eligibility during client sessions. The “OBBBA AI Scanner” uses Eleos’ ambient AI tech to flag changes that might impact a patient’s coverage so that they can get out in front of any lapses. Providers can control the “themes” they want to track, which include housing status, diagnosis updates, and life events like marriage or aging out of eligibility.
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Start Getting Leads From ChatGPT and Google AI
If your healthcare company isn’t getting leads from ChatGPT and Google AI Overviews, it’s probably because your content isn’t optimized for AI search. Tely AI runs keywords and questions research, generates and publishes GEO content, and captures new leads – all on autopilot. Create your first article on us to start filling your pipeline with patients and partners from today’s lead sources.
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Navina AI “May Be Essential for Thriving” in VBC
Innovation lab Phyx Primary was left with one conclusion after its independent evaluation of Navina’s AI Copilot: AI “may be essential for thriving” in value-based care. Physicians using Navina saw a 40% reduction in clinical review time, a 32% decrease in burnout, and lifted STAR quality ratings by 1.9 points. The experience scores were just the icing on the cake. Get the full report to learn more.
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- Elevate 2025 – Medallion’s Virtual Conference Returns Sept 17: Now in its fourth year, Medallion’s annual conference is back – bringing together healthcare leaders to explore this year’s theme: Elevate the present. Reframe the future of healthcare. Hear from industry voices like Tom Lawry, author of Hacking Healthcare, UPMC Chief Medical Information Officer Robert Bart, and many more. Reserve your spot now.
- Next Generation Ambient Technology and Agents: The ambient AI transformation is already sweeping across health systems, reducing administrative burdens and improving patient outcomes. So, what’s next? Tune into this on-demand session to learn how systems like Carle Health and Denver Health are leveraging Nabla to eliminate Pajama Time and build a future where agentic AI unlocks true workforce sustainability.
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