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The Addicted Mind Podcast

Episode 382: Revolutionizing Recovery: Using Data to Speed Up Healing With Nawal Roy

The Addicted Mind Podcast

Duane Osterlind, LMFT

Medicine, Health & Fitness, Mental Health

4.7655 Ratings

🗓️ 11 May 2026

⏱️ 35 minutes

🧾️ Download transcript

Summary

In this episode, Duane Osterlind talks with Nawal Roy, the visionary behind Holmusk, the world’s largest clinical data platform for mental health. After a successful career in finance, Nawal pivoted to healthcare, driven by the realization that mental health is one of the most complex, yet least quantified, areas of medicine.

They dive deep into how Holmusk has spent 11 years building a "scientific-grade" database of over 42 million patients, shifting mental health care away from "hunches and poetry" toward precision and evidence-based science.

Key Discussion Points

  • The Data Gap in Mental Health: Historically, mental health treatment has relied on clinician intuition rather than hard data. Nawal explains how Holmusk "normalizes" messy, unstructured electronic health records to create a searchable, scientific database.
  • The 10-Year Wait: Data reveals a heartbreaking reality: the average journey from the onset of symptoms to receiving meaningful care is 8 to 10 years.
  • Ending the Trial-and-Error Cycle: A typical acute patient might cycle through 10 to 12 different medications over 18 months before finding what works. Nawal discusses how large-scale data can help clinicians find the right treatment faster.
  • The Power of Comorbidity: Mental health doesn't exist in a vacuum. Treating depression can significantly improve outcomes for physical conditions like diabetes, yet these are often treated as separate issues.
  • Measurement-Based Care: Nawal argues that "engagement is not outcome." He highlights the desperate need to move toward a system that measures functional improvement (like GAF or CGI scores) rather than just "showing up for therapy."
  • AI and the Future of Psychiatry: How Holmusk is using Natural Language Processing (NLP) to "read" thousands of unstructured doctor's notes and train AI models to provide clinically accurate—not just "nice sounding"—guidance.


"Mental health is currently closer to poetry than science... we need to bring the level of rigor found in pediatric oncology to the mental health community."Nawal Roy

"You can't improve what you don't measure. If we have data, we can actually make real, significant change to people's lives."Duane Osterlind

Big Takeaways

  1. Demand Data: Patients and stakeholders should demand that mental health be treated with the same clinical rigor as physical health.
  2. Outcome over Engagement: Simply attending sessions isn't enough; we must measure whether the patient is actually getting better.
  3. The Role of AI: AI has the potential to democratize access to care, but it must be trained on massive, clinically valid datasets to avoid "hallucinations" and provide safe, effective support.

Resources Mentioned

  • Holmusk: holmusk.com
  • NeuroBlue: Holmusk’s flagship data analytics platform.
  • ACE Study: Referenced by Duane regarding Adverse Childhood Experiences and their long-term health impacts.


 

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Supporting Resources:

If you live in California and are looking for counseling or therapy please check out Novus Mindful Life Counseling and Recovery Center

NovusMindfulLife.com

We want to hear from you. Leave us a message or ask us a question: https://www.speakpipe.com/addictedmind

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Transcript

Click on a timestamp to play from that location

0:00.0

Hello, everyone. Welcome back to the Addicted Mind podcast. I'm Dwayne Austerlund, and I'm your host.

0:11.5

Mental health is currently closer to poetry than science. Everyone to their own interpretation.

0:17.1

And we are making a cholesterol shocker for all the problems that goes around it in a thousand

0:22.3

ways in different ways where there are concrete ways by which it can be improved and it

0:27.7

starts with measurement and it starts with data.

0:33.6

So today's conversation is a little different. My guest is Nowal Roy, the founder and CEO of Hallmusk, the largest data company focused on mental health.

0:45.4

Noel Roy spent 18 years in finance before making the leap into the space. And over the last 11 years, he's built something the world has never seen.

0:55.4

A normalized research grade database of over 42 million mental health patients with more than 100

1:05.1

scientific publications behind it. And what this data reveals is honestly sobering. The average person waits eight to

1:13.3

10 years from the time they know something is wrong to the time they actually get meaningful care.

1:20.5

Once they do, they go through maybe 10 to 12 different medications over 18 months of trial and error before landing on something that works.

1:30.6

And in most cases, nobody is even measuring whether the treatment is actually helping.

1:36.4

We talk about why that is, what needs to change, and how AI and big data can start to close the

1:44.0

gap and why the mental health field has to move from

1:47.8

poetry to science if we're really going to make real progress. But before we jump in, if this

1:54.7

podcast has been meaningful to you, take a moment to rate and review the addicted mind on Apple Podcasts or Spotify.

2:03.3

Even better, write a review.

2:05.8

Those reviews help people who are struggling find this show and follow us on social media

2:12.1

so you can stay connected.

2:14.0

All right.

2:14.5

Let's get into it.

2:21.0

All right, let's get into it. All right, everybody, welcome to the Addicted Mind podcast.

...

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