250: Revolutionizing Addiction Recovery with TRAC9: A Data-Driven Approach
The Addicted Mind Podcast
Duane Osterlind, LMFT
4.8 • 621 Ratings
🗓️ 13 September 2023
⏱️ 53 minutes
🧾️ Download transcript
Summary
What does a data-driven approach to addiction recovery look like? Allow Dr. Jared Dempsey and Hunter Williams, the brilliant minds behind TRAC9, to guide you through their innovative platform. Drawing from personal encounters with addiction, they've developed a solution that goes beyond conventional treatments, utilizing the power of data collection, monitoring symptoms, and scientifically validated assessments. Their work emphasizes the importance of ethics in patient data collection, creating a secure environment for individuals in recovery.
TRAC9 isn't just a platform; it's a game-changer in the field of addiction treatment. By analyzing subtle changes and symptoms in patients, TRAC9 enables health professionals to tailor treatments, increasing the probability of successful recovery. Reliable data is a treasure trove of insights that could revolutionize the way we understand and treat addiction. Here, patients find a safe haven, where they can be more honest on paper than in direct communication with a provider, offering invaluable insights for treatment success rates.
Using the cutting-edge fields of machine learning and habituation, TRAC9 goes beyond data collection. It creates predictive models that generate neurochemical reactions to visual triggers, helping to reduce instinctive cravings. By evaluating nine core elements of addiction and two measures of craving, TRAC9 forges a comprehensive path to recovery. Discover how this platform is making waves in the field of addiction, and how it could help you or a loved one find the way towards a sober life.
In this episode, you will hear:
- A data-driven approach to addiction recovery
- Monitoring symptoms for addiction treatment success
- Data collection's impact on addiction treatment
- Understanding addiction treatment and data analysis
- TRAC9 and making a difference
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Transcript
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| 0:00.0 | Hello, everyone. I hope you are having a wonderful day. We are on to another episode of the |
| 0:11.8 | Addicted Mind podcast. My name is Dwayne Austerlund. I'm your host. And today we have two guests, |
| 0:17.8 | Dr. Jared Dempsey and Hunter Williams of Track 9. |
| 0:22.3 | So Dr. Dempsey is actively involved in neurological and physiological research in the addiction field. |
| 0:30.3 | His recent publications include preliminary evidence for a biological marker of addiction recovery, |
| 0:37.0 | non-conscious emotional response to |
| 0:38.9 | drug stimuli, and the influence of social anxiety on addiction treatment. Dr. Dempsey has also served |
| 0:45.7 | as an expert reviewer for the Journal of Motivation and Emotion, Psychopharmacology, the Journal of |
| 0:53.5 | Psychopathology and Behavioral Assessment, |
| 0:56.0 | the American Journal on Addictions, Addiction Psychiatry Research, and Dr. Dempsey was the lead |
| 1:02.9 | scientist behind the development of Track 9 infomatics, a comprehensive tool for substance |
| 1:08.4 | use disorders and mental health treatment, |
| 1:11.1 | which provides evidentiary support for clinical monitoring, outcomes, supervision, and success forecasting. |
| 1:18.6 | And Hunter Williams is also part of Track 9 and is going to share his experience in his own recovery using the track nine system. |
| 1:29.4 | So I really enjoyed this interview. |
| 1:31.8 | It was great to talk to Dr. Dempsey about why data, outcome data, is so important in treatment |
| 1:41.3 | to create successful treatment for people who are struggling with addiction. |
| 1:45.2 | And often how that data can help us be better clinicians and help clients get recovery |
| 1:53.6 | and how that data can actually help clients directly when they can see these outcomes in front of them. |
| 1:59.6 | And we just dive into all of the research, the tools, |
| 2:03.1 | how they do that, and why they're building this system. There's some real nuggets of insight |
| 2:08.9 | that I didn't even realize that the research shows us that would be counterintuitive. So I think |
... |
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