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AI/NLP

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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...
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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...
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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...
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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...
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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...
An image representing the Infinitus digital assistant asking a human agent how their experience was. The human agent responds, "Absolutely amazing! Honestly, this call has been the best one I've had all day!
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...
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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...
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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...
Infinitus presents at the Association for Computational Linguistics Conference 2023
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...
isometric illustration of a neural network model made from pills representing AI in healthcare
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...
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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.

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