Tisson Mathew

Barti Software has raised $12 million Series A round to accelerate its AI-powered EHR and practice management platform for eye care. Built by an optometrist, Barti is an end-to-end operating system that solves key pain points for eye care practitioners. The platform unifies clinical, operational, and financial workflows, including an AI Scribe, native VoIP, and website management, to eliminate disconnected legacy systems. This empowers practitioners to automate administrative tasks, reduce burnout, and focus on patient care. The investment was led by Five Elms Capital. This partnership will enable Barti to scale its go-to-market efforts, grow its team, accelerate the development of new AI capabilities, and expand into ophthalmology. Congratulations to CEO Colton Calandrella, COO Kelly C., and the Barti team. PR Newswire: https://lnkd.in/gcuqzSRK #AI #HealthTech #EHR #PracticeManagement #EyeCare #Ophthalmology #Funding #SeriesA

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If patient identity isn’t reliable, AI guidance won’t be either. Duplicate and split records break risk scores, alerts, and follow-up. At Achievion, we fix matching before adding new models. We use a deterministic + probabilistic approach with strong normalization. Add referential data only where policy allows. Stand up a lightweight review queue for low-confidence matches so data stewards can resolve edge cases quickly. Make quality visible. Monitor duplicate rate, split rate, and false merges. Track downstream signals clinicians feel: fewer re-tests, fewer misrouted messages, fewer missed follow-ups. Tie each issue to an owner and a service-level target so fixes happen this week, not next quarter. Keep it in the workflow. Surface a “possible duplicate” banner and a one-click merge route where staff already work (registration, scheduling, inbox). When identity is clean, sepsis alerts trigger for the right chart, readmission risk is calculated once, and outreach lands with the intended patient, not a near duplicate. Build decision-first systems on accurate identity so teams Achieve the Impossible with the Power of AI - reliable guidance, fewer errors, and better handoffs. #AIinHealthcare #PatientMatching #Interoperability #DataQuality #HealthTech

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Big news: Snowflake Ventures is leading a strategic equity financing in AtScale. This investment validates the critical role of semantics in the modern enterprise data stack. As enterprises consolidate data on Snowflake AI Data Cloud, a unified, governed semantic layer is essential for consistent metrics and business logic. A semantic layer like AtScale makes accessing that data more accurate, accessible, and efficient by bridging the gap between business language and data language. AtScale’s Universal Semantic Layer provides this single source of semantic truth for customers like Fidelity Investments and The Home Depot. The company remains independent and interoperable, supporting a broad ecosystem of data platforms, BI tools, and AI applications. This is a good moment to reflect on the future of data and AI. New to semantic layers? I'll post a tutorial link below. And here are five big topics from the 2025 Semantic Layer Summit (link to Substack articles on these below): 1️⃣ Semantic layer standardization is coming 2️⃣ Semantic layers are BI’s Gift to AI 3️⃣ Semantic layers make AI 3X more accurate 4️⃣ Long live SQL (with semantic layers to help) 5️⃣ The great debate: Should semantics be in your database? This is a pivotal moment for the data industry, and I’m thrilled to be a part of it! https://lnkd.in/eVJ276Pp

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NEW RELEASE from Packt Publishing >> "LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development" See it at https://amzn.to/4pJK98J 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: 🟠Apply design patterns to integrate LLMs into enterprise applications for efficiency and scalability 🔵Overcome common challenges in scaling and deploying LLMs 🔴Use fine-tuning techniques and RAG approaches to enhance LLM efficiency 🟠Stay ahead of the curve with insights into emerging trends and advancements, including multimodality 🔵Optimize LLM performance through customized contextual models, advanced inferencing engines, and evaluation patterns 🔴Ensure fairness, transparency, and accountability in AI applications

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Join the Databricks Data and AI Experts: Steve Sobel --Global Leader, Startup & Venture Programs; Kevin Rasmussen -- Field CTO, Early Stage Programs, and Sriharsha Tikkireddy -- Technical Lead, Early Stage Programs, for the next Omaxn event: Workshop: #VibeCoding Unlocked: Effortless App Building with Databricks Details" TechNexus Venture Collaborative on Aug 26 What you'll learn: #FasterDevelopment and #Iteration: Databrick's "#Vibecoding" allows developers to use natural language prompts to generate code and build applications, cutting the time from idea to deployment from weeks to minutes or hours. Engineers can test, refine, and redeploy applications in a highly efficient, conversational way—enabling tight feedback loops. #FullCustomization and #CodeOwnership: Engineers get complete control over the generated code instead of being limited by drag-and-drop low-code templates. You can modify, extend, and host the application anywhere, ensuring flexibility for enterprise needs and long-term maintainability. #PatternExtraction and #Maintainable Architecture: The AI focuses on extracting repetitive code patterns and parameterizing them, producing clean, documented configurations. This ensures that applications are not only quick to build, but also easy for future engineers to understand and maintain. #Integration with #DatabricksInfrastructure: Applications inherit benefits from Databricks’ robust governance and security: access controls, audit trails, RBAC, and deployment on the trusted Lakehouse platform. #TurningIdeas into #Apps: Fast: Vibe coding enables business stakeholders, analysts, and subject matter experts to describe their needs in plain English (or any natural language). The system translates these ideas into working applications, so non-techies can rapidly bring their insights to life—no computer science degree required.

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🚀 Exciting AI Developments at Elixir EHR! 🧠💻 We’re adding some powerful new AI capabilities into the Elixir platform (a native #Salesforce EHR and RCM) to assist clinicians with clinical documentation and order automation—and we’re inviting a few select healthcare providers to participate in our Feature Validation/PoC. This will give the participants an early peak into AI capabilities and also influence the direction. The current PoC/validations will explore: 1️⃣ AI-generated SOAP Notes and Orders from simulated patient sessions 2️⃣ AI-powered Patient Summaries and smart chart Q&A based on CCDA documents We're looking for engaged clinical users who are passionate about innovation in healthcare. Participation involves just two 1-hour sessions and early access to features that will shape the future of Elixir and other EHRs in general. 💡 If you're interested in joining us—or know someone who would be—please DM me or comment below. We’d love to have you involved! #ElixirEHR #AIinHealthcare #ClinicalAutomation #DigitalHealth #HealthTech #EHR #ClinicalNotes #PatientSummary #Innovation #HealthcareAI #healthcloud cc Elixir - Healthcare Practice Management Suite

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a minimalist EMR and AI (1) What if an EMR is more like simple document, you don't need to go to forms, the forms come right to you. How about AI integration? There are multiple ways, we could do. But for this demo, we can just ask drug info right inside the EMR. If model accuracy is handled by big companies, what we can focus is how to do seamless integration into healthcare workflow. #EMR #AI

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Spitball Sunday: $7B to Reverse Disease With AI. You can see that as either a spitball OR reality via ACCESS While not once in the RFA or rate document does CMMI mention AI or LLMs, CMMI leadership was quoted yesterday saying something that made it’s intentions clear. "Develop NOT for RPM economics, but leverage LLMs to help patients self-manage. If you've already got something built, think about the automation and self-management side." They want AI-powered self-management. At scale. For $1.15 a day. Think that's the worse idea ever, well as Pryce Ancona and Brendan Keeler have said - AI is the worse it's ever going to be. And 3 weeks ago, in the course of a few hours, I was able to download 10 years of health data, generate 3 of comprehensive health eval and optimization plans for myself tapping into 4 different world reknowned physicians. The reports blew away anything I have received from tens of thousands of $$ spent trying to get to the bottom of my health. Inclulding traditional MDs, functional docs and concierge docs. As for the ACCESS rates, it’s as if ŌURA sat down with Oz over dinner and sketched out the economics they needed to participate in access – Initial year - $200-$250 to cover the cost of the hardware and double the current $5.99/month to cover the cost of an amped up version of their current nudging. Follow-up years – no more hardware cost, just the cost of nudging. ACCESS is many things: A System C Design Breakthrough Pot of Gold An Opportunity to Capture Payment from Medicare for Direct to Consumer Disease Reversal Solutions Not Reimbursed Today by Medicare A Golden Opportunity to Show Consumer Latent Demand for a Desire to Reverse Disease NOT Simply Treat It “Better” An Opportunity to Bridge the Gap Between the Grocery Store and Healthcare NOT through FIM but through Food Is Health – Leveraging the Assets that Exist Today and Harnessing the Tech that Healthcare (rightly so) Fears and Views as Perilous A System B Slap in the Face A Tech Bros Best Day Ever An Expensive Dumpster Fire (and Possibly the Biggest One in CMMI History) I see it as a design challenge for the Good Guys. For CKM, it’s $420/month x 21.5 million beneficiaries with a CKM condition. The incumbent healthcare delivery system sees that as a gnat on the elephants ass, but others don’t. This is actually an unexpected opportunity for CPG and retail grocery to take a new position in healthcare with their customers. AND get paid for it. If the rates hit a nerve. Good. We started mapping the use cases for this last week in Denver at our first ever Food Is Health Unconference (Carter Williams). We had farmers, CPGs, retail grocery, healthcare and more designing how we could end the chronic disease epidemic. If you didn't hear about it, you must not be over on our foodishealth substack. It's GO TIME for what Carter Williams and I call System C. The food industry has the opportunity to take back a bunch of marketshare from healthcare.

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