All AI/NLP

For healthcare workers already plagued by the burden of administrative overwhelm, repeatedly checking in on the status of a prior authorization adds to an already taxing clerical burden. And yet, it’s necessary – if these calls aren’t completed in a timely fashion, patients can face delays in treatment and providers risk losing revenue. That’s why...

Often, new solutions for call center staff claim that they’re powered by AI when in reality, they’re just hoping to capitalize on a buzzworthy phrase. At best, these tools may offer a simple wrapper around an existing GPT model and call it a day.  This matters because GPT on its own cannot do what FastTrack™,...

We are excited to announce that FastTrack™, the first purpose-built AI copilot for healthcare, enters general availability today. FastTrack is an enterprise-ready AI copilot that enables healthcare staff, such as reimbursement specialists, to bypass tedious IVR systems and avoid hold times. This helps healthcare companies to save time so they can serve more patients. Whether...

We’re excited to announce a SMART on FHIR application that can support electronic health record (EHR) integrations across our product suite. With this app, Infinitus solutions can be launched directly from within popular systems of record for health systems. The solution enables users of these systems to trigger offerings in the Infinitus platform, like the...

We’re excited to announce a strategic partnership with Salesforce, enabling the Infinitus AI agent to be activated directly from Life Sciences Cloud. With the partnership, Life Sciences Cloud users can utilize the AI agent to call payors and pharmacy benefit managers (PBMs) to verify insurance benefits, navigate prior authorizations, and check the statuses of formulary...

Helping patients access therapy as efficiently as possible is critical to improving outcomes. This is just one of the reasons electronic benefit verification (eBV) solutions are popular – they represent a streamlined approach to getting the data that makes medication access possible. But with so many options on the market, and as technology and AI...

We’re excited to announce our AI eBV+ solution for patients covered by commercial insurance seeking access to specialty medications. Along with our existing instant Medicare Part B benefit verification offering, we are proud to now offer our customers a comprehensive AI-powered solution that goes beyond traditional eBV solutions and empowers healthcare providers to unlock medical...

Frequently, our customers have described the Infinitus AI agent as a super-productive member of their teams. And while we focus on creating products that augment busy healthcare workers – and don’t replace them – we understand why some think of our agent like a coworker. We’re officially in the era of “AI co-workers” after all. But...

This piece is excerpted from Separating AI fact from fiction: A guide for healthcare leaders. You can read the full ebook here. If what’s written about in popular media were to be believed, there’s nothing AI can’t quickly and easily automate. In reality, that’s not exactly the case – especially when it comes to sensitive,...

The recently released 2024 Future Health Index zeroed in on something all healthcare workers have known for some time: staffing shortages are hindering the ability to provide the best possible patient experience.  The good news is, per the report, it seems healthcare leaders have realized that a solution may be found in the automation of...

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 is a graph aware language transformer, which has more flexibility than traditional model pipelines and more reliability (meaning no hallucinations), as well as lower latency than the latest prompt models for...

We often speak about the importance of humans in the loop in AI, and how Infinitus uses humans in concert with our purpose-built AI system. Our human experts serve a number of roles in our ecosystem, including stepping into live calls the Infinitus AI agent is conducting with payor representatives. This may occur if the...

Our customers have referred to the Infinitus AI agent as the best performer on their team. And while the AI agent – we call her Eva – may seem like magic to the payor representatives she speaks to, it is in fact the Infinitus knowledge graph that powers her capabilities.  Those capabilities are anything but...

AI agents are everywhere, with some news outlets proclaiming them to be the future of AI. We don’t disagree.  At Infinitus, we talk a lot about our AI agent and the technology that powers it. Also known as Eva, the Infinitus AI agent makes phone calls to commercial and government payors on behalf of healthcare...

How we use humans in concert with our multi-model, multimodal AI system to deliver real efficiency to over a dozen Fortune 500 healthcare customers Automating administrative phone calls in healthcare is no easy feat. The benefit verifications and prior authorization inquiries Infinitus automates can be an hour long, with hundreds of back-and-forth interactions that require...

If you ask many experts, they’ll tell you AI is a discipline within computer science. After all, AI is concerned with creating computer systems that can perform tasks typically requiring human intelligence; it makes logical sense.  I understand where those that label AI as computer science are coming from. But I also disagree with them. ...

Increasingly employer-sponsored plans are including copay accumulators, copay maximizers, or alternative funding sources as part of their plan design. In fact, estimates suggest about half of all lives covered by commercial insurance are enrolled in a plan that utilizes a copay accumulator and/or a maximizer.  If your team is responsible for guiding individuals through coverage...

Chatbots are everywhere in healthcare news, with some outlets even proclaiming the AI-powered technology to be “the future of healthcare.”  At the same time, you’ve likely heard about conversational AI’s potential to transform the industry too.  But when it comes to provider- or payor-facing communications, like phone calls to retail pharmacies or major medical insurance...

2023 will go down in history as the year artificial intelligence in its current incarnation went mainstream, and it won’t be slowing down this year. To many, the technology’s arrival – and pressure to be incorporated at work – felt sudden. Regardless, the healthcare industry is in dire need of the kind of help AI...

It’s just a phone call. What could be so complicated? At first consideration, conducting – and even automating – phone calls to major medical payors and pharmacy benefit managers (PBMs) to perform benefit verifications doesn’t seem as if it should be all that complex. After all, these calls are extremely common, extremely frequent, and entirely necessary....

If the ultimate goal of patient support programs is to create holistic, patient-centric ecosystems of assistance, 2023 saw strides forward. Patient support programs are better than ever at creating and analyzing meaningful data and have improved dramatically at providing the personalized engagement that patients desire. But there is still more to be done.  In 2024,...

At Infinitus, we spend a lot of time talking about the advantages of benefit verification automation. AI can transform healthcare’s back-office administrative processes, helping create time for the industry to improve access, adherence, and affordability – something we’re committed to as an organization. But why is benefit verification, specifically, a strong fit for automation?  Read...

Benefit verification is one of the first steps after a patient schedules an appointment or is prescribed medication, but that doesn’t mean it’s a quick, easy, or inexpensive task. In fact, studies show that up to a quarter of total national healthcare costs can be chalked up to administrative expenses like benefit verification. Despite attempts...

Depending on your company and role within healthcare, you’re either researching AI, experimenting with AI, or scaling up your approach. But regardless of where you are in your AI journey, there are a number of questions to answer and items to mull over.  Here are some key considerations to weigh as you embark upon creating...

For healthcare leaders in 2023, understanding the nuances of artificial intelligence (AI) is essential. Whether you’re a seasoned healthcare professional or newer to the industry, odds are you’re being asked to incorporate AI into your plans.  But the world of AI can be complex, filled with terminology and acronyms that can be overwhelming. Below, we’ve...

AI is everywhere – dominating headlines, business meetings, and even conversations at the dining room table. But as healthcare and pharma leaders, and not necessarily AI experts, many of our customers and partners have questions about the technology.  Machine learning, deep learning, large language models (LLMs), generative AI … these terms are all interconnected, but...

The COVID-19 pandemic increased the amount of time we spend communicating through screens instead of in person. The result: a growing sense of isolation, one that the US Surgeon General Dr. Vivek Murthy believes contributed to an “epidemic of loneliness.” This highlights a paradox: Healthcare, one of the most personal of services, now lacks connection...

Picture today’s tech landscape as a pendulum in motion, swinging between two distinct poles. At one extreme, there’s a somewhat prevalent notion where AI not only equals, but eventually outshines human intelligence. On the other side, there’s a lingering concern that AI could displace human roles, rendering us obsolete.  This narrative overlooks the fertile middle...

As the American Medical Association puts it, prior authorization creates “a huge administrative burden” for healthcare providers that often delays patient care. Despite this, reports suggest prior authorizations are increasingly common – and are increasingly leading to problems. The good news is: Prior authorization automation – especially in patient access programs – can be a...

At Infinitus, we develop and use artificial intelligence (AI) in a responsible manner. This includes avoiding creating or reinforcing unfair bias. We are optimistic that our AI and machine learning (ML) techniques are fair and unbiased, but recognize that advanced technologies can raise concerns and challenges.  Infinitus provides software as a service (SaaS) applications and...

The world of AI and large language models (LLMs) is in a state of constant flux, change, and improvement. At Infinitus, we’re focused on keeping up with the latest – both in our own research, and in that which we read. It is our hope that the research papers and articles below will provide some...

To date, Infinitus automates calls on behalf of healthcare providers to more than 500 payors. Those calls are faster and result in more accurate data for our customers, but we’re still often asked: Why do payors take calls from the Infinitus digital assistant? As it is for healthcare providers, digital transformation is a top priority...

Artificial intelligence (AI) dominates today’s headlines, with the stories see-sawing between two fears: AI will take over our brains, or humans will also lose their jobs to AI. “AI doomerism,” as the Techdirt blog calls it, sees little middle ground between humans and AI.  But at Infinitus, we have a more positive vision of the...

The new year is a time of hope and renewal, of setting goals and refocusing on the big picture. But it is also a time of uncertainty when it comes to health insurance; with the new year comes changes in health insurance coverage, cost share, and authorization requirements. This annual cycle creates uncertainty for patients about...

Recently, Arushi Raghuvanshi, Infinitus’ machine learning lead, presented the results of an Infinitus research project at the Association for Computational Linguistics annual meeting. The resulting research paper, “Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction,” explored leveraging explicitly stored agent guidelines, such as company policies, customer service manuals, or documents on standard operating procedures, to...

Recently there have been huge advancements in the ability of large language models (LLMs) to handle conversational systems. In many practical industry settings, the conversational AI systems we want to build are task-oriented dialog systems (TODs). In these systems, the goal is to help a user complete a task or collect certain information. For many...

We talk about being vulnerable in our day to day lives. Let's do that for our AI products as well. It'll enable everyone to understand the power, pitfalls and progress that our computers are making.

There hasn’t been as much production level automation in longer form conversations, including phone calls, but there is a need for it. Many business operations today still happen over the phone and we discuss how we are solving these issues.

We’re excited to announce that the Infinitus AI Benefit Verification offering is now generally available, and that we have raised $21.4 Million in Series Seed and Series A funding from Kleiner Perkins and Coatue Management.

Today, my co-founder Shyam Rajagopalan and I are introducing the world to Infinitus, a voice robotic process automation (Voice RPA) company targeted to reduce the complexity and cost of healthcare in the United States. We have been working on this project since February 2019 and are excited to share our progress on it on this blog over the coming years.

In this post, I outline some of the breakthroughs we have had to make and preview some of the exciting technical challenges that lay ahead.

This week, we’re excited to be featuring Conal Sathi. Conal has been building the computer brains that drive the conversations that the Infinitus digital assistant has. From rule based systems to self-learning models, Conal has been pulling out all stops to make sure our customers are getting the most out of their Infinitus experience.