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Qualified Health, Adonis, and the AI Funding Frenzy
March 30, 2026
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Together with
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“We will start to see a big divergence between health systems who have approached AI thoughtfully and proactively, and those who are ‘watching and waiting’ to see what happens.”
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Qualified Health CEO Dr. Justin Norden
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In an era of isolated AI pilots, Qualified Health is building the infrastructure to connect the dots.
AI is the star of enterprise transformation. Health systems are looking to deploy and scale AI across their entire organization, and Qualified just raised $125M of Series B funding to make sure every new agent fits into a cohesive constellation.
The core platform has four distinct layers:
- A data foundation that turns the EHR and external sources into an AI-ready bedrock.
- A layer that lets hospitals build and deploy AI tools without always starting from scratch.
- A layer that turns those tools into AI apps and agents deployed directly into workflows.
- A layer that keeps governance, monitoring, and evaluation at the center of everything.
Qualified doesn’t leave AI to chance. It embeds forward-deployed product leaders alongside health system teams to identify high-priority needs, deploy solutions quickly, and iterate based on actual feedback in the trenches.
That has a couple of major benefits:
- AI solutions are purpose-built for specific operational problems rather than mass market appeal.
- The tight feedback loop allows Qualified to iterate faster than it would be able to with a traditional implementation cycle, which shortens the timescale needed to improve its deployments and demonstrate a measurable impact.
The proof is in the pudding. At the University of Texas Medical Branch, Qualified reportedly generated a $15M measurable run-rate impact within the first six months.
- That’s an eye-popping number to get on record, and it apparently stemmed from “a real willingness to dive deep” alongside UTMB clinical teams to deploy multiple assistants and automated workflows.
- Qualified already supports systems representing about 7% of U.S. hospital revenue, and the next chapter is about deepening those partnerships and scaling responsibly.
- Big ambition also means big competition, and Qualified will be up against everyone from Innovaccer to Epic if it wants to become healthcare’s AI platform of choice.
The Takeaway
Hospitals aren’t looking to AI for incremental improvement. They’re looking to AI to transform how they deliver care, and Qualified just landed another $125M to be the infrastructure that makes that possible.
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Get a Front Row Seat to Health AI
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Abridge Named #1 Best in KLAS – Again
KLAS just named Abridge #1 Best in KLAS for Ambient AI for the second year in a row. The recognition was based on direct customer feedback from the nation’s largest and most complex health systems, which gave Abridge the highest overall satisfaction score and A+ ratings across Culture, Loyalty, Relationship, and Value. Discover why Abridge is the market-leading AI platform for clinical conversations.
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- Adonis Lands $40M: Adonis landed $40M of Series C funding to boost hospital bottom lines with AI-driven revenue cycle management. The platform ingests billing data to surface the underlying issues causing claims to get denied, then automatically carries out tasks to recover revenue like researching denials and preparing appeals. Mount Sinai’s VP of RCM told MedCity News that Adonis stood out because of its dual approach that pairs AI agents with an intelligence platform that delivers continuous visibility into accounts receivable, allowing staff to focus on “less whack-a-mole and more precision targeting.”
- OpenEvidence Coding Intelligence: OpenEvidence became the latest AI high-flyer to jump on the medical coding train after launching Coding Intelligence to help capture missing reimbursement. The new tool within the Visits platform automatically generates CPT, ICD-10, and E/M codes from visit notes, including supporting rationale based on the latest clinical guidelines. OE has been pedal-to-the-metal rounding out Visits since its debut in August, and every new capability continues to blur the line between GenAI search, RCM, and ambient documentation.
- The Big Get Bigger: A KFF analysis found that one or two health systems control the entire inpatient healthcare market in nearly half (47%) of U.S. metropolitan areas. KFF also confirmed that the big keep getting bigger – as we saw with Sutter’s acquisition of Allina just last week – and most metropolitan hospital markets (80%) either became less competitive from 2015 to 2024 or were controlled by one health system over that entire period. Almost all metro areas (97%) now have a highly concentrated hospital market that exceeds FTC/DOJ antitrust levels.
- Doctronic Gets a Hat Trick: Doctronic closed a $40M Series B to advance its AI for autonomous clinical decision-making, marking its third fundraise in less than a year. The round brings Doctronic’s total funding to $65M in the wake of it becoming the first AI to legally renew prescriptions in the U.S. The startup’s core offering is an AI chatbot that talks to patients about symptoms and health concerns before transferring them to a telehealth call with a clinician for $39. The announcement mentions that Doctronic is now generating $10M+ ARR, which the napkin math suggests would be about 21k visits per month – a number that some smart folks are finding hard to believe.
- Story Health Trial Results: New results from the VITAL-HF trial showed that digital interventions can be a valuable tool for optimizing guideline-directed medical therapy for heart failure patients. Researchers randomized 178 participants with stable heart failure to receive either usual care or Story Health’s remote HF platform that includes connected BP cuffs/scales, personalized medication titration between visits, and health coach support. At six months, the intervention group saw average HF medical therapy scores increase 2 points on a 12 point scale (5.2 to 7.2), significantly higher than the 1.4 point increase in the usual care group (4.8 to 6.2).
- Thesis Series A: Thesis Care landed $45M in Series A funding to expand its AI clinical capacity platform. By combining AI agents with an in-house team of “clinicians-in-the-loop,” the platform automates complex care management workflows from start to finish, with the AI looping in Thesis’ own clinical experts if needed rather than disrupting existing staff processes. Thesis already has several partnerships with large provider orgs like U.S. Heart & Vascular across primary and specialty care, but it sounds like the new capital will help it lean in on hospitals and health plan care teams.
- Patients Hide AI Use: A Zocdoc survey showed that patients who use AI for health advice frequently hide it from their doctor. One in five patients have hidden AI use from a physician, even though 77% of physicians report positive feelings about their patients using AI. Another interesting highlight was that 88% of patients feel confident after consulting AI, despite only 28% trusting it to be accurate.
- Advocate Agent Factory: Advocate Health is gearing up to deploy four clinical AI prototypes developed using Epic’s new Agent Factory platform. The North Carolina-based health system used Agent Factory to run an agile sprint for complex pharmacy order verification and infusion charting preparation, which resulted in the four prototypes that it plans to put into production this summer. Not one to stop at a handful of new agents, Advocate also announced that it’s launching the country’s largest hospital drone delivery network to deliver prescriptions, lab specimens, and medical supplies using Zipline drones.
- Translucent Closes $27M: Translucent capped off the funding frenzy with a $27M Series A funding round to help provider orgs understand their finances. The platform gives “every operator a personalized AI analyst” to help translate the data buried in their spreadsheets into actionable performance insights. Translucent’s been busy since raising its $7M seed round late last year, and it’s now helping improve margins through real-time financial data at orgs like Northwestern Medicine and Duly Health and Care.
- The GLP-1 Effect: New research from Trilliant Health showed how drastically GLP-1s have reshaped anti-obesity prescribing. From 2018 to 2021 (prior to the approval of Wegovy in June 2021), patient volume for anti-obesity therapies increased just 16.4%, then went on to jump 94.5% from 2021 to 2024. The shift was especially notable in women ages 18-44, with non-GLP therapies accounting for 96.1% of prescriptions in 2018, but declining to 37.3% by 2024 as GLP-1s took over.
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Making the Case for AI
Healthcare organizations have a lot to gain from implementing AI that can enhance coding accuracy and quality metrics, but securing buy-in from leadership is a crucial first step. Check out Navina’s new guide by Dr. Michael S. Barr to see exactly how to demonstrate clear financial benefits, ROI potential, and alignment with organizational priorities to help ensure AI projects are successful.
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Best Practices for Value-Based Obesity Care
Healthcare executives focused on value-based obesity care need actionable guidance, and that’s exactly what they’ll find with Withings’ new best practices. By leveraging connected health data to measure outcomes and optimize resources, care teams can improve long-term patient engagement and success, while still being cost effective. Get the best practices today.
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- State of Payor Enrollment and Credentialing: Over half of provider orgs are losing revenue due to credentialing delays – with many missing out on over $1M annually. Medallion’s new report unpacks the forces quietly undermining operational and financial performance, and how leaders across the industry are addressing them. Head over to the full report to get insights tailored to your role and org type.
- How MUSC Health Is Bringing Care Closer to Home: MUSC Health teamed up with Ovatient to accomplish a simple goal: ensure access to care isn’t determined by a ZIP code. A third of South Carolina residents live in rural areas, but travel barriers don’t make preventative care any less crucial. See how Ovatient’s virtual-first approach is improving access to urgent care, primary care, and integrated behavioral health and reducing leakage – without MUSC providers doing the heavy lifting.
- From Transcription to Clinical Insight in One API: AssemblyAI is the voice platform behind the voice platforms. Combine speech-to-text, PHI redaction, and LLM-powered summarization in a single API call that lets you generate SOAP notes, referral letters, and clinical summaries automatically. Start building with AssemblyAI today.
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