Fathom

What's the impact of Fathom AI medical coding? ApolloMD's C-suite can tell you. Watch senior operations, IT, and quality leaders at ApolloMD describe their experience with Fathom autonomous medical coding. By implementing Fathom, this 1,500-physician, nationwide group has achieved industry-leading automation rates, significantly reduced costs, and relieved coding staffing challenges -- all while shortening coding turnarounds from days to hours. #medicalcoding #medicalbilling #revenuecyclemanagement #artificialintelligence #healthcare

Healthcare's environment may be constantly changing, but two problems persist: workforce shortages and financial challenges. According to the latest survey from the American College of Healthcare Executives, hospital CEOs are grappling with these issues more than ever. Here's what caught our eye: ⭐ 79% cite staff burn-out as a specific concern ⭐ 52% struggle with RCM inefficiencies ⭐ 61% deal with reimbursement woes While these challenges are significant, there is a bright side. Technology like Fathom's can offer a viable solution. By automating labor-intensive tasks and optimizing RCM, autonomous coding platforms not only mitigate burn-out but also ensure accurate documentation and improved financial outcomes. Interested in seeing how this works in action? Let's talk! Check out the full survey here → https://lnkd.in/eZ8_wp_2 #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

We're excited to introduce some recent members of the Fathom team: Aleksandr Savochkin, Owen Westland, P.Eng, Wojciech Grajewski, and Nathan Hausman! 🎉 Aleksandr, joining us as a Software Engineer, brings a rich background from Meta, where he worked on machine learning models to bolster platform integrity. Before that, he was at Microsoft for 8 years, where he worked on Dynamics Fraud Detection and risk projects. Before joining Fathom's engineering team, Owen was at Amazon, where he worked on 5 different backend AWS services to support Amazon transporters in delivering packages from distribution centers directly to customers. Prior to Amazon, he worked at Rocscience for over 5 years, where he tackled multiple technical roles. Most recently, Wojtek worked at Google, developing projects for Google Cloud VMware Engine using Go and Java. He also spent 4 years at Dynatrace, leading a team of 10 engineers on cloud monitoring projects. Nathan comes aboard as an Engineering Manager. He previously served as the CTO at Syndicate, where he built out their technology organization and spearheaded the development of blockchain products and services. Before that, Nathan worked as a Security Engineer and Technical Advisor at Facebook. We couldn't be happier to have these talented individuals on board and are eager to see the innovations they will bring to their roles at Fathom! P.S. Do you want to work with a group of fun, hard-working people? We're hiring! Check out our Careers page (link in comments). #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare #NewHire

Despite the momentum of AI in healthcare, many provider organizations are unsure of how to proceed and capture true ROI from their efforts. In this article for Physicians Practice, the Fathom team debunks some common AI misconceptions and shares actionable steps on the best way to approach AI adoption for your practice, including: [1] Assessing organizational readiness: Lay out workflows, requirements, data availability, and other factors that shape potential AI applications. [2] Identifying inefficiencies in your operations: Comprehensively review pain points to isolate priorities for AI. Many organizations find that administrative workflows such as coding offer significant opportunities to save costs, improve results, and free up resources. [3] Setting measurable goals: Orient your team around what success looks like, thus helping to ensure ROI from the project. For example, autonomous coding should fully automate 90%+ of encounters upon go-live. Such goals provide clear criteria for evaluating impact. [4] Researching AI vendors: Among other criteria, evaluate track record, integration approaches, and scalability to ensure a long-term partnership that grows as you do. [5] Trialing an AI solution and vendor: Test vendor claims for yourself by running a trial first. Any strong vendor should agree to proving performance for a client to validate results and ROI. Dive into the full article for the complete roadmap: https://lnkd.in/eRiCx7Zi #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

Even across different cities, the Fathom crew knows the importance of bonding and making time with our teammates count. 
 Our San Francisco, New York, and Toronto teams recently gathered in their respective cities for some fun. There were spirited games of bocce ball and shuffleboard, and some cathartic smashing in the break room!
 P.S. We're growing! If you're interested in working with a great group of people passionate about our mission, apply here: https://lnkd.in/eZiTxJha #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

As healthcare executives lean further into AI strategies, many physician groups and practices are also taking closer looks. But what's the best way to get started? In this new article for Healthcare Business Today, the Fathom team breaks down four key areas to focus on for a successful AI integration experience, including: ✨ Building organizational buy-in and setting explicit goals ✨ Holding a great kick-off meeting ✨ Engaging in hyper-focused monitoring after go-live ✨ Capturing learnings for a continuously refined AI playbook Read the full article here: https://lnkd.in/g6FeJCM6 How is your organization approaching AI implementations? #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

Introducing Kunal Nath! Kunal is a key member of Fathom's Client Success and Strategy team and joins us after nearly 15 years at Epic. By the end of his tenure at Epic, he was overseeing about 50 integration engineers and 8 team leads. Now working with many of Fathom's health system clients, he leads implementations and ongoing expansion projects. "Some of my most meaningful moments have revolved around our deep partnerships with clients and strong culture of collaboration internally. … For example, one of my most fulfilling experiences was helping a major integrated health system – one of the largest provider organizations across the country – in its journey toward automating coding across multiple specialties. … It was amazing to see their dedication to enhancing coding efficiency and accuracy in action." Check out his new blog to learn more about Kunal, his passion for cricket and video games, his achievements in theater(!), and his decision to join Fathom. Also, we're growing! Visit our Careers page (link in comments) for the latest opportunities. #Hiring #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

I'm thrilled to welcome Kunal Nath to Fathom, who recently joined our team as a Strategic Client Advisor. Kunal comes to Fathom after nearly 15 years at Epic (!!!). Throughout his time at Epic, he led integrations for major health systems transitioning to the EHR, including HL7 experience. By the end of his tenure there, he was overseeing about 50 integration engineers and 8 team leads on their health system projects. Kunal holds a BS in Computer Science and Engineering from The Ohio State University. At Fathom, Kunal brings his deep experience to partner with some of our health system clients on implementations and ongoing expansions. I've been impressed with his impact already and am very excited about his contributions to come. FUN FACT: Despite his technical prowess, he still clinched the title of "Best Actor" in his high school's Inter-Class Dramatics Competition.

🎙️ Fathom’s Head of Coding Quality, Taylor Webster, was recently on The Collective Voice of Health IT, a WEDI podcast, with host Michael McNutt, CMP. We've collected some of Taylor's expert insights from the discussion – swipe through below to learn about how AI coding addresses staffing shortages, improves revenue capture, and much more. If you haven’t had a chance yet, listen to the full podcast (~15 min) here 👉 https://lnkd.in/eHvy3Fcr #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

The Health Management Academy's CFO Forum brought together health system financial executives last month to discuss the most pressing challenges, successes, and opportunities for AI partnerships. One takeaway stood out among the many valuable discussions: The importance of proving vendor performance before making investments in AI. For AI, CFOs increasingly rely on performance and pilot metrics to guide their decisions, highlighting the need to validate AI technologies thoroughly. For example, THMA shared the case of one health system that ran 12 pilots with AI vendors, ultimately finding that only 2 of the vendors produced results consistent with their marketing claims. At Fathom, we agree with this emphasis on demonstrating quality and proving ROI. That's why our client organizations first validate results for themselves by comparing their teams' coding to our system's in a blind study prior to go-live. Shrewd CFOs and other leaders should expect strong vendors to agree to this kind of validation approach. Thank you to THMA for recapping this insightful discussion! Check out the full recap here: https://lnkd.in/eyabTBwX #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare