Infinitus Systems, Inc.

Are you or your team involved in the process of submitting prior authorization requests on behalf of patients, receiving prior auth determination information, or following up on prior auth decision status? We want to hear from you. Please take our brief (2-minute!) survey. All responses will be kept completely anonymous: https://hubs.li/Q02G3t8r0

Our team at Infinitus Systems, Inc. is #hiring a new computational linguist!! Folks in the San Francisco Bay Area, our healthcare startup (www.infinitus.ai) is building a conversational AI digital assistant to automate administrative work burdening healthcare workers - starting with phone calls. Tens of millions of Americans are in medical debt, and over half of healthcare workers are concerned about burnout. With our system, we are working to bring down costs, get patients to care faster, and free up healthcare workers to focus on patients. If you're interested in creating time for healthcare to improve access, adherence, and affordability – or know anyone who is – reach out or apply via my referral link: https://lnkd.in/gFbcQSWM

AI is good at solving problems for which the answers are easily available and straightforward. But ... when the subject matter or task at hand becomes more complex, it’s much harder to build an algorithm that can work with it. That's just one reason AI for healthcare isn't as straightforward as it may seem. But that's not to say AI can’t be used to solve some of the healthcare industry’s biggest challenges. Here's what you need to know.

The top 10 reasons to automate the benefit verification process with AI in 2024: 🔌 Go further than electronic options: When AI takes over the data-gathering process, you don’t need to worry about whether or when to make a call to a payor at all – the AI handles it for you ⏰ Save time and boost productivity: Offloading benefit verification to AI empowers healthcare workers to spend their time on more complex or pressing needs 📖 Reduce training needs: No need to spend time or resources training seasonal staff 🧑🤝🧑 Address staffing challenges: Forgo the need to find and hire additional staff, while helping improve existing staff morale 📊 Keep up with changing volumes: Better navigate fluctuations in benefit verifications, during January’s annual reverification period or even unexpected changes in product usage volume 😵💫 Stay up to date with changing rules: Insurance plans can change from year to year, and sometimes within the year – AI stays up to date, taking the pressure off staff to do so 💨 Expedite time to therapy: Collect benefits data faster and more accurately, streamlining patient time to therapy. 💯 Improve accuracy: AI isn’t vulnerable to human error 👩⚕️ Provide a better patient experience: Freed up staff to spend more time in clinical interactions, focused on helping patients 😎 Incorporate AI into your plans in a safe and effective way: benefit verification automation is one of the most effective and least risky ways to incorporate AI

According to the newly released Future Health Index 2024 report, 92% of healthcare leaders believe automating repetitive tasks is "critical for addressing staff shortages in healthcare." The takeaways from the ninth edition of the report are clear: AI can help address serious care gaps. More from Bryan Bledsoe below: https://hubs.li/Q02DHcg50

The June edition of our newsletter is live! Read now for a behind-the-scenes look at our AI system.

Arushi Raghuvanshi and Youngseo Son from the Infinitus team presented two research papers at last week's NAACL 24 in Mexico City. Check out the links in the comments to learn more about our findings!

We're #hiring a senior data scientist to support our LLM efforts and AI innovation in San Francisco. More details and the application are at the link below. Have questions before you apply? Reach out to Ritu Rastogi or Douglas Puett for more information! https://hubs.li/Q02D0rHW0

Infinitus is Hiring: Backend Engineer (Senior) 🚀 Join Our Team! 🚀As a Backend Engineer on our platform engineering team, you'll guide us in developing cutting-edge, end-to-end solutions using LLMs and other advanced approaches. You will help lay the groundwork for new bets in AI applications and be responsible for designing and delivering production systems that leverage LLM Agents to manage complex phone call interactions in our core offering. This position offers the opportunity to tackle significant technical challenges and drive the evolution of our AI infrastructure. Please connect with Nitin Narasimhan and Ritu Rastogi to learn more. https://lnkd.in/g7ewMeGx

We’re excited to share a new model architecture that outperforms other approaches for phone call automation in our real world, healthcare setting. The model has more flexibility than traditional model pipelines, more reliability (meaning no hallucinations!), and lower latency than the latest prompt models for next action prediction. More on this new research from the Infinitus team, from Arushi Raghuvanshi, below: