Fathom

As the fall conference circuit has highlighted again and again, health systems are eager to deliver measurable ROI from AI investments -- but moving from successful pilots to enterprise-wide scale remains a challenge for many organizations. On Tuesday 12/9, 1:00-2:00 p.m. ET, we're partnering with The Health Management Academy to host a webinar featuring three health system executives who have successfully implemented and scaled AI, including autonomous coding, across their revenue cycle operations: 🌟 Rebecca Conen, VP and Chief Revenue Cycle Officer, Deaconess Health System 🌟 Michele Morton, RHIA, CCS, CCDS, Executive Director of HIM Services, Hoag Health System 🌟 Matthew Castellano, System VP, Enterprise Applications, UNC Health Moderated by Fathom CEO Andrew Lockhart, this peer-to-peer dialogue will explore: ⭐ How these leaders evaluated technologies and structured implementations to minimize risk ⭐ Measurable outcomes achieved: cost savings, improved revenue capture, increased accuracy, reduced denials, and other impacts ⭐ Practical frameworks for scaling AI pilots to enterprise-wide deployment Register here: https://lnkd.in/emHNdzsn #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

It was an absolute honor for Fathom to be recognized by KLAS Research at #HLTH this weeks as the number one emerging solution to reduce cost of care. This award means a lot — not just because it comes from the most trusted name in healthcare technology, but because it reflects the voices of the people who matter most: our clients. Behind this recognition are: The Fathom team — who obsess over every model, workflow, and client interaction to make autonomous coding real. Our clients and partners — who’ve trusted us to transform one of the most complex and costly parts of healthcare. You took a leap of faith on emerging technology because you saw the potential to transform your operations. Your partnership, feedback, and willingness to innovate alongside us has been instrumental in proving that AI can deliver real, measurable impact in healthcare. Together, we're demonstrating that reducing administrative costs doesn't mean compromising on quality—it means enhancing it. The KLAS Research team — for doing the hard work of listening deeply and shining a light on what’s actually moving the industry forward.

It was an absolute honor for Fathom to be recognized by KLAS Research at #HLTH this weeks as the number one emerging solution to reduce cost of care. This award means a lot — not just because it comes from the most trusted name in healthcare technology, but because it reflects the voices of the people who matter most: our clients. Behind this recognition are: The Fathom team — who obsess over every model, workflow, and client interaction to make autonomous coding real. Our clients and partners — who’ve trusted us to transform one of the most complex and costly parts of healthcare. You took a leap of faith on emerging technology because you saw the potential to transform your operations. Your partnership, feedback, and willingness to innovate alongside us has been instrumental in proving that AI can deliver real, measurable impact in healthcare. Together, we're demonstrating that reducing administrative costs doesn't mean compromising on quality—it means enhancing it. The KLAS Research team — for doing the hard work of listening deeply and shining a light on what’s actually moving the industry forward.

KLAS Emerging Solutions Top 20 — The Winners Are In! A heartfelt congratulations to this year’s Emerging Solutions Top 20 Award winners: Ambience Healthcare • AmplifyMD • Artisight • Clarus Care • DeepScribe • DexCare • eInsights • Fathom • Onpoint Healthcare Partners • Rivia Health • Tennr These organizations have been recognized by healthcare leaders for their ability to positively impact the quadruple aim of healthcare—improving outcomes, reducing costs, enhancing patient experience, and supporting caregivers. Each year, a panel of provider executives evaluates emerging solutions—drawing on real-world experience and peer feedback—to identify those poised to drive meaningful change across the industry. It’s our honor to celebrate these innovators who are shaping the future of healthcare delivery. Learn more about the winners and their solutions in our report: https://lnkd.in/gqh3vfUA #KLASResearch #EmergingSolutions #HealthcareInnovation #Top20 #HLTH2025

We're honored to share that Fathom was named the #1 solution for Reducing the Cost of Care in KLAS Research's 2025 Emerging Solutions Top 20 Report, as announced last night at HLTH USA! The top 20 were selected by 41 healthcare leaders across the country from KLAS's emerging solutions research, with the aim of finding solutions with the greatest potential to disrupt the healthcare market. In selecting Fathom for the top position in cost reduction, healthcare thought leaders highlighted the technology's tangible ROI stemming from 90%+ automation rates across medical specialties – including 99% in radiology, 95% in primary care and urgent care, and 92% in emergency medicine – at same or better accuracy relative to customers' previous coding solutions. Some perspectives from healthcare leaders that stood out to us: 🌟 "Existing clients have reported high levels of throughput and accuracy, which not only enhances operational efficiency but also contributes to significant cost savings. Additionally, the improved precision in coding reduces the likelihood of claim denials, thereby minimizing future revenue leakage and administrative burden." – VP who served as a Top 20 reviewer for KLAS 🌟 "KLAS's Emerging Solutions Top 20 winners are helping to redefine what meaningful innovation looks like in healthcare. These companies pair bold ideas that tackle healthcare's real problems, elevate patient care, and strengthen operational performance." – Adam Gale, CEO of KLAS This latest KLAS recognition comes as revenue cycle management has risen to the top priority for health IT investment. According to the Bain & Company 2025 Provider and Payer Healthcare IT Survey, written in partnership with KLAS, 70% of provider respondents now have an AI strategy in place or in development, up from 60% in 2024, and medical coding ranks as the third most commonly deployed use case for AI within RCM. "With automation rates exceeding 90% at superhuman accuracy, we're fundamentally transforming how RCM teams can function, allowing organizations to redeploy resources toward patient care while strengthening their financial footing," said Andrew Lockhart, CEO of Fathom. "This is especially powerful as a way to relieve clinicians across departments from coding duties, with providers realizing 7x ROI from Fathom over clinician coding." Check out the full KLAS Top 20 report in the linked announcement! #hlth2025 #Healthcare #ArtificialIntelligence #RevenueCycleManagement #MedicalCoding #MedicalBilling #KLAS https://lnkd.in/e3GHnmpA

Proud to share that Fathom achieved a 95.5*/100 overall performance score in KLAS Research's first autonomous coding market report. As the report authors put it, "autonomous coding is top of mind for revenue cycle departments looking to ease coder staffing constraints and improve operational efficiency" – and the technology is rapidly expanding to meet these needs for providers. I'm particularly excited to see surging demand for Fathom's autonomous coding as providers seek to enhance RVU and HCC capture while navigating today's financial headwinds. Big thanks to a number of our clients who participated in the in-depth interviews that informed this analysis – your partnership and candid feedback has been monumental for getting Fathom to this point and helping us to improve further. You can access the full report inside the announcement below. Looking forward to chatting more about it with folks throughout the RCM conference circuit this fall. #Healthcare #ArtificialIntelligence #RevenueCycleManagement #MedicalCoding #MedicalBilling Source: KLAS Research, "Autonomous Coding 2025: A Promising Start for an Early Market," August 2025 (*limited data). https://lnkd.in/ep5hN82r