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Tennr, Commure Meda-Round, and Premium Patient Experiences
June 23, 2025
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Together with
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“Effective mental health care is rarely confined to the therapist’s office. It’s a continuous, evolving journey where the work extends beyond the session. To achieve that, we need a new model that leverages technology to fill the space between.”
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SonderMind CEO and Co-founder Mark Frank
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Tennr just raised $101M of Series C funding to have AI help solve one of healthcare’s most timeless challenges: fax machines.
Tennr got its start in 2021 improving the patient intake and documentation review process, but has quickly expanded its capabilities to make sure that patients don’t get lost in a “black hole” during the referral process.
- More than one-third of Americans receive a medical referral each year, half of which aren’t completed due to miscommunication, misdirected referrals, or missing information.
- Tennr’s orchestration platform and proprietary language models automate these workflows to help providers convert more patients, cut denials, and deliver care without growing their teams.
The secret sauce is Tennr’s specialized language models (RaeLM), optimized to understand the nuanced data in medical determinations and evaluate it against strict payor criteria.
- Tennr integrates with over 50 types of e-faxes, phone lines, emails, and portals to collect patient information, then leverages RaeLM to structure the data into usable information that can be shared with EHRs and pharmacy management systems.
- The thesis was that if Tennr could read the documents and structure the data, it would be in a good spot to bolt-on more services – such as its eligibility benefits product, patient communication solution, and referral management suite.
The fresh funds will fuel the launch of the Tennr Network, designed to equip referring providers, receiving providers, and patients with real-time visibility into the referral status.
- Referring providers can see the status of every patient they’ve sent out, eliminating phone tag and guesswork.
- Receiving providers can track the status of every referral, see which need more documentation, and identify which sources are driving the most conversions.
- Patients can see when their referral was accepted, when it’s scheduled, and what to expect to pay – matching the “transparency we take for granted in food delivery or e-commerce.”
The Takeaway
Faxes are here to stay, and Tennr has $101M to make sure that they’re actually serving the practices using them. The plan isn’t to give healthcare a new AI tool, but to use AI to help the industry get more out of the tools it already has.
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Kennedy Community Health Finds RPM Success With Withings
When Kennedy Community Health needed a partner to support remote patient monitoring for its diverse patient population, it turned to Withings Health Solutions. See how Kennedy found success with its new program for uncontrolled hypertension using Withings’ RPM platform and connected devices, surpassing enrollment goals while unlocking better outcomes for its patients.
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Future-Proof Your Health System with Scalable, Accessible Primary Care
The reality of modern health system primary care: more patients, fewer resources, constant pressure to deliver. K Health offers a strategic advantage, with a clinical AI and Virtualist care model that provides the scalable solution you need to meet patient demand anytime, anywhere. Join the ranks of forward-thinking systems like Cedars-Sinai, Hackensack Meridian Health, and Hartford HealthCare. Explore the future of primary care with K Health.
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- Tough Times at Medically Home: Axios reported that Medically Home took a major hit to its valuation during its recent merger with DispatchHealth, largely due to challenges getting its burn rate under control while expanding support to more hospital-at-home programs. A 498-page document titled Project Peregrine was accidentally emailed to all Medically Home employees, outlining the merger structure negotiated by investors. Tough break, but not too surprising to see after Best Buy Health’s recent restructuring due to HaH challenges.
- Abridge Inside Debut: Abridge debuted a pair of major new capabilities within Epic’s Workshop program: Abridge Inside for Inpatient and Outpatient Orders. Inside for Inpatient extends Abridge’s current functionality for outpatient and emergency medicine to a new care setting, while Outpatient Orders allows medications mentioned during patient encounters to be surfaced directly inside Epic so that clinicians can easily place orders based on the conversation.
- The Doctor Might Be a While: AHN’s 2025 Survey of Physician Appointment Wait Times revealed that it now takes an average of 31 days to schedule a physician appointment in 15 of the largest U.S. cities. That’s up from 21 days in 2004, the first year the survey was conducted, and has climbed 19% from 26 days since 2022. The specialties with the longest wait times now include obstetrics/gynecology (42 days), dermatology (36 days) and cardiology (33 days).
- Hellocare Teams Up With Mayo Clinic: Hellocare.ai is teaming up with Mayo Clinic to collaborate on ambient clinical intelligence for use cases like early detection, reducing clinician burnout, and proactive inpatient care. The Hellocare platform enables hospitals to deliver AI-assisted services such as ambient documentation or patient engagement through a unified solution, and Mayo Clinic liked it enough to add to the company’s recent $47M growth round.
- Commure Raises $200 Million: Commure landed $200M to meet surging demand for its to advance its revenue cycle management, ambient documentation, and practice management solutions. The “fast-growing enterprise AI healthcare technology company” is reportedly now in over 130 health systems and powering billions of dollars in annual revenue cycle automations, including the nation’s largest ambient AI rollout at HCA Healthcare.
- UHS Partners With Hippocratic: Universal Health Services and Hippocratic AI are launching an AI agent to help clinicians make follow-up phone calls to patients post-discharge. The duo plans to have the agents help clinicians monitor patients after they leave the hospital by fielding questions and detecting any changes in their conditions. UHS piloted the program earlier this year and is leaning in after positive patient feedback.
- Omada Enhanced GLP-1 Care Track: Omada’s hard at work building evidence that its Enhanced GLP-1 Care Track improved outcomes with the medication. In a new study of 1,124 Omada members without diabetes in the companion program, members demonstrated 94% medication persistence through 12 weeks and 84% through 24 weeks, significantly higher than benchmarks from previous real-world studies (42% at 12 weeks and 33% at 24 weeks).
- Intermountain + Layer: Intermountain Health is rolling out Layer Health for clinical data abstraction across 33 hospitals. Layer’s AI-powered chart review will help with measuring patient outcomes to drive quality improvement and reimbursement across stroke, surgery, and cardiovascular disease. The cherry on top of the partnership was a strategic investment through Intermountain Ventures.
- Patients Want Premium: New data from Qualtrix showed that over half of consumers in the U.S. would be willing to pay more for a better healthcare experience. Of the 10k people surveyed, 61% said they’d rather pay more for a “premium” experience, such as improved medical outcomes or a provider that better fits their needs. Despite a majority of respondents preferring premium healthcare, it was the industry with the fewest consumers saying they’d pay more for better service, getting beat by the widest margin with air travel (84%), rideshare services (77%), and investment management (73%).
- AMA Calls for Explainable AI: The American Medical Association adopted a new policy calling for clinical AI tools to be “explainable,” meaning the models should justify their outputs with clear explanations. The report that served as the basis for this policy noted that “black box” clinical algorithms remove the clinician’s training and expertise from decision-making, presenting them with information they may feel compelled to act upon without being able to assess accuracy of the conclusion. The AMA policy arrives shortly after the NHS declaring that any AI tool used for clinical summarization now falls under medical device regulation.
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More FQHCs Are Choosing Abridge
Abridge is now being implemented across the enterprise at FQHCs throughout the U.S. In this new report, hear from four about why they decided to go with Abridge: increased access to care and clinician wellbeing, unique partnership model and aligned values. Read more here.
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From Chaos to Clarity: How Navina Is Transforming Healthcare Data
As healthcare becomes increasingly complex, escalating data challenges make it difficult for physicians to stay fully informed on their patients’ health status. Navina is changing the way physicians interact with patient data by transforming fragmented patient records into succinct summaries with AI-powered diagnosis suggestions at the point of care. Download the white paper to see how practices are leveraging Navina to enhance VBC performance and improve the clinician experience.
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- Ensuring Compliance With Medical AI Scribes: AI scribes are transforming how providers document patient encounters, but new innovations come with new compliance risks. Head over to Playback Health’s quick-start guide to maintaining compliance in the age of AI, and see how Playback Health Pro is giving providers peace of mind with 100% data ownership, SOC 2 verification, and HIPAA-compliant encryption every step of the way.
- 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.
- What Nurses Are Teaching Us About Ambient AI: Nurses are the backbone of healthcare, and their tools need to keep up with the growing complexity of their roles. For nurses, documentation isn’t just about compliance – it’s how they track key observations, ensure care continuity, and support billing. Nabla’s ambient AI is already helping 8,500 nurses streamline documentation and reclaim time for patients across 30+ orgs. See what Nabla’s building for the fast-paced needs of nursing workflows.
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