Live from the 2022 Global Genes Rare Patient Advocacy Summit with Tim McLerran, Head of Product, Medical Intelligence One, Inc

PARENTS AS RARE – EPISODE 068
Special Episode – Live from the 2022 Global Genes Rare Patient Advocacy Summit with Tim McLerran, Head of Product, Medical Intelligence One, Inc.

Tim McLerran is the Co-Founder and Head of Product at Medical Intelligence One, where the mission is to care for patients based on their own deeply informative data with wisdom derived from a partnership between human and machine intelligence trained on data from billions of other humans and all of the world’s medical knowledge. Tim is also launching and hosting a show called Diagnostic Odysseys, where they dive into patient stories in hopes of shortening the diagnostic odysseys patients endure.

EPISODE HIGHLIGHTS

What are your thoughts on patient care and face-to-face time?

I got into medicine because I wanted to have a relationship with my patients. Coming through training, I could see that was not the world I was coming into, which in part is why I decided to change my career direction and focus instead on something more connected.

How has your medical career transitioned into your role with Medical Intelligence One?

While researching in medical school to develop methods of rapidly scanning blood, we generated large data sets of thousands of people. There was a moment that I remember staring at the numbers and realizing human minds need help from machine minds to make full use of the data. That made an impression on me, and through my clinical training, additional factors came together that inspired me to consider taking a deeper dive into bridging human and machine intelligence in medicine. I went from the clinical track to full time researching, attending conferences, reading books and reaching out to mentors.

Can you tell us about Enola?

Medical data is organized and stored in the electronic medical records system in a way that isn’t conducive to downstream analysis and there are better ways to organize data. A colleague and I turned our attention to rare diseases and building a system where a patients can enter clinical findings, discover diseases associated with clinical findings and narrow results based on additional related findings. Once this product is developed and launched, it will be available to patients directly.