Tech at the Crossing

Introduction

In the early 2000s, a group of British researchers ran an experiment with doctors. They wanted to see how many times a physician would change a patient’s prescription if given a second opinion by an AI-powered diagnostic tool. The result? Not much. The doctors listened, nodded, and then overwhelmingly stuck to their original decisions.

This reluctance—this instinctive “trust-but-not-really” reaction—is at the heart of what AI is facing in healthcare today. On paper, artificial intelligence should be transforming medicine at the speed of light. In reality, adoption has been slow, skeptical, and uneven.

But something is changing.

Across Rubicon Founders’ portfolio of healthcare companies, AI is quietly making its way into the workflows of providers and insurance companies.

Not in a sci-fi, robot-doctor kind of way—but in small, incremental, often invisible ways.

Some of these changes stick. Others fade. What separates the two?

Let’s take a closer look. Over the course of three episodes we’ll cover the Rubicon experience in AI:

Episode 1: AI and the Health Services P&L

Episode 2: Ambient Scribing

Episode 3: Risk Stratification and Parting Thoughts