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AI/NLP

An illustration of a clapperboard with the words "The call: benefit verification" written on its side.
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....
An illustration depicting a crystal ball, with a patient at its center.
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,...
A graphic depicting a checklist of pros and cons, with the "pros" category filled out.
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...
An illustration that depicts a checklist of reasons benefit verification is a strong candidate for AI and automation.
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...
An illustrated image of a box, with floating cubes and magnifying glasses.
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...
A graphic image of a dictionary with bookmarks signifying key terms.
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...
An illustrated image of two boxes, one marked "fact" and one marked "fiction," with a magnifying glass between them.
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...
An image of a robot hand and human hand touching at the index finger.
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...
A graphic showing a hand holding a marionette of a robot.
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...
A graphic showing a machine with question marks entering and checked boxes exiting the other side.
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...
An illustrated image of a balance
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...
A lasso wrangling the text "Human/AI collaboration"
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...

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