The Infinitus Blog

There’s a pervasive yet factually inaccurate assumption that comes up frequently in our conversations about AI agents and elderly patient populations: That older adults resist new technology, struggle with hearing, and expect human contact – and so are unlikely to engage with AI. In reality, the opposite is true. For many older patients, voice AI...

This month, the Infinitus team launched new features to: There’s more, too. Read on to learn about our additional updates, or contact us directly to get started with our agentic communications platform. Spotlight: Boost Medicaid success rates with Provider ID support Infinitus can now accept Medicaid Provider ID as an input, enabling more seamless navigation...

NOTE: This post is an excerpt of our ebook Leading with trust: A people-first guide to AI integration in healthcare. Click here to access the full publication. For our guide to AI change in healthcare, we asked some of our customers to submit their most pressing questions about AI adoption and change management. Infinitus then sat down with...

NOTE: This post is an excerpt of our ebook Leading with trust: A people-first guide to AI integration in healthcare. Click here to access the full publication. Within any organization, the AI champion (or sponsor) is the leader who is ultimately responsible for building buy-in among colleagues, other leaders, and cross-functional teams for whatever solution they believe is...

Generative AI is a buzzword, promising faster documentation, smarter summaries, and more natural conversations. But as healthcare organizations move from experimentation to real-world deployment, confusion remains about generative AI and agentic AI, and when each makes sense to use in healthcare. In fact, Infinitus CEO and Co-founder Ankit Jain is frequently asked by healthcare leaders...

In AI evaluation, pass@k measures capability: given k attempts, what is the probability that at least one output is correct? For example, imagine an AI generating prior authorization summaries. If the model produces five variations and at least one meets the desired result, that counts as a success. If this happens in 92 out of...

What is AI not good at?  It’s a good and timely question, but also the wrong question to ask. That’s especially true if you are an AI company in healthcare or if you are a customer of AI products in healthcare. From the perspective of an AI company in healthcare, it is the wrong question...

As pharma teams look for better ways to educate, engage, and support patients as direct-to-patient (DTP) offerings grow, AI has quickly become part of the conversation. That’s why Infinitus launched an AI suite designed specifically for DTP programs, and why we’re hearing the same questions again and again from life sciences teams. Do patients want...

Adverse event (AE) detection is vital for pharmacovigilance and regulatory compliance. To address this need, Infinitus developed SAGE, a robust NLP system that detects AEs using a human-in-the-loop approach.  While LLMs are exceptional at identifying potential events, their broad contextual awareness often introduces noise, misinterpreting unrelated phrases as safety concerns. To solve this, we leverage...