Blog

Expert Voices on Building Safe Generative Healthcare AI

Every nurse knows the quiet moments when the shift slows just long enough to feel the weight of everything left undone. The charting that waits until the end of the night. The patient who didn’t get quite enough education before discharge.

Why We Built Hippocratic AI Co-Pilot

Since the advent of modern computing, we’ve witnessed several evolutionary phases, driven by advances in processing power, interfaces, techniques, and processes. We are now entering the latest phase: agentic engineering.

The Agentification of Software Development

The Economist featured Hippocratic AI’s Co-founder and Chief Scientific Officer, Subhabrata Mukherjee, in their Agentic AI Advantage report. Read more about how Hippocratic AI is an effective solution for delivering results.

The Agentic AI Advantage:
Deploying AI Agents for Growth and Innovation

Generative AI is transforming healthcare, but ensuring safety and reliability remains a critical challenge. We are excited to introduce a groundbreaking approach to AI safety validation called Real World Evaluation of Large Language Models in Healthcare (RWE-LLM), developed by Hippocratic AI.

New Realm of AI Safety

Our new executives bring deep expertise from pharma, payors, providers, ambulatory care, and government, as well as international and emerging markets. Their collective experience will fuel Hippocratic AI’s continued momentum.

New Exec Hires for Expansion

In celebration of our two year milestone, we’re excited to announce the launch of Polaris 3.0, our most advanced and safest healthcare LLM constellation to date. Polaris 3.0 represents a groundbreaking leap forward.

Polaris 3.0 Safety Constellation Architecture

The Hippocratic AI Spotlight Series features in-depth interviews with the key team members who are propelling our mission to deliver healthcare abundance on a global scale. Our cross-disciplinary team span clinical, research, engineering, and product expertise.

Spotlight Series: Michelle Voisard

Patients deserve care that meets them where they are and accounts for their motivations, environment, preferences and beliefs. Simple measures, such as calling a patient at a better time or asking which channel of communication best suits them all go a long way in improving a patient’s health.

Personalized Interactions

As part of a monthly check-in program, our AI agent recently contacted a 74-year-old male who had a past medical history significant for hypertension, chronic kidney disease (CKD), and vitamin D deficiency. During this outreach, he reported that he had slipped on ice the previous day…

Supporting Vulnerable Populations

Healthcare is built on trust, connection, and the ability to understand individual patient needs. Yet, as technology takes center stage in revolutionizing care, there’s a growing challenge: how do we maintain empathy and humanity?

Human Touch in AI

Read the first in our series around the art of speech technology. Artificial Intelligence is poised to become a transformative force in patient care. Although AI provides unparalleled efficiency, precision, and speed, it needs to also have an empathetic touch.

Empathetic Intelligence

A recent call by our AI agent to a 78-year-old woman revealed that she had elevated blood pressure during her last physician visit. While she did not report clinical symptoms of a hypertensive emergency, our AI identified the profoundly elevated blood pressure for immediate escalation.

Preventing Hypertensive Crisis

As AI continues to transform industries, healthcare has emerged as one of the most promising areas for AI-powered solutions. While AI has traditionally been associated with complex tasks like medical diagnostics or data analysis, it is now being utilized in more patient-facing interactions.

Empathy in Action

We have been issued our first patent, covering many of the innovations that we’ve incorporated into our Polaris system. This patent highlights both the breadth and depth of our innovation. Not just in developing a new LLM, but also in creating a system around several language models.

Our First LLM Patent

A 52-year-old male with no significant past medical history is scheduled for a routine screening colonoscopy. Ten days before his appointment, he begins noticing that his bowel movements appear black, a potential sign of gastrointestinal bleeding.

AI Agent Breaks Barrier to Care

How can we implement this technology effectively when we don’t fully grasp what it is or how to use it? Indeed, the growing excitement about GenAI’s potential to improve access to care and reduce clinician burnout is sometimes tempered by an underlying lack of trust regarding this technology.

Bridging the Gap with GenAI

In collaboration with WellSpan Health, we’ve launched our AI care manager to address the screening gap. Our AI agent, named Ana, is designed to conduct targeted outreach to at-risk patients, with a particular focus on Spanish-speaking populations.

Closing the Care Gap

Today, we are announcing Polaris 2.0, our new generation of constellation system for safety-focused patient-facing healthcare conversations. With more than 3 trillion parameters, Polaris 2.0 is significantly clinically safer and smarter than ever.

Polaris 2.0

“My chest hurts and I can barely take a breath”. Fortunately for this 65 year old female, a generative AI powered HAI healthcare agent had called to check on her. The agent asked appropriate questions and immediately escalated her to a nurse. She was emergently admitted to the hospital. Possibly the first life saved by an AI agent intervention.

Polaris Safety in Action

Our healthcare system has made remarkable advancements in technology, treatments, and patient care over the years. Yet, a critical gap persists that often leads to preventable complications, hospital readmissions, and even avoidable deaths: the lack of consistent and proactive contact with patients once they leave the hospital.

Polaris 1.0