Neural Compass

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Topic Category:

Health and Fitness

Topic Sub-Category:

Mental Health

Where to Listen:

Language:

English

Copyright Notice:

Jimini Health

Podcast Stats:

Number of Episodes: 7

Series Type: episodic

Content Type: AUDIO

Podcast Description

Welcome to Neural Compass, a new podcast from Jimini Health.We’re charting the future of mental and behavioral health — at the intersection of AI, psychiatry, neuroscience, and real-world clinical care.Hosted by Jimini’s own Mark Jacobstein, Neural Compass features honest, forward-thinking conversations with the leaders shaping what’s next — from healthcare executives to AI pioneers.Whether you’re building in this space, investing in it, or navigating it as a decision-maker, this podcast is your guide to the breakthroughs, challenges, and ideas defining the next era of care.Learn more: jiminihealth.com

Podcast Insights

Content Themes

The podcast covers a range of topics including advancements in AI and mental health care, the role of data in improving therapeutic relationships, and innovative treatment models. Episodes feature discussions like the impact of AI on therapy with guests such as Dr. Lyle Ungar, the importance of measurement-based care with Dr. Amber Childs, and strategies for addressing anxiety with Dr. Luana Marques, providing unique insights and practical tools.

Further Podcast insights, such as show format, guest types, ideal guests, and target audience are available to Podcast Collab Club Members!

Neural Compass

Welcome to Neural Compass, a new podcast from Jimini Health. We’re charting the future of mental and behavioral health – at the intersection of AI, psychiatry, neuroscience, and real-world clinical care. Hosted by Jimini’s own Mark Jacobstein, Neural Compass features honest, forward-thinking conversations with the leaders shaping what’s next – from healthcare executives to AI pioneers. Whether you’re building in this space, investing in it, or navigating it as a decision-maker, this podcast is your guide to the breakthroughs, challenges, and ideas defining the next era of care. Learn more: jiminihealth.com

Join Marc Jacobstein on Neural Compass as he speaks with brothers and psychiatrists Dr. Arpan Parikh and Dr. Amit Parikh. They examine the historical resistance to Measurement-Based Care and why the field has often prioritized intuition over objective metrics.

The discussion moves into the practicalities of treating complex serious mental illness through virtual care models. They also explore how AI can act as a superintelligence for clinicians by synthesizing vast amounts of patient data and automating the collection of collateral information from families. This episode breaks down how AI can do the administrative heavy lifting so psychiatrists can focus on what actually moves the needle in the room.

What You’ll Learn

The psychological barriers preventing the adoption of Measurement-Based Care.
How virtual care models are successfully reaching underserved Medicaid populations.
The limitations of current clinical scales and the need for sophisticated data.
Methods for using AI to automate the gathering of collateral medical history.
Ways technology can synthesize fragmented patient records to improve visit impact.
The connection between mental health outcomes and the total cost of care reduction.

About the Guests

Dr. Arpan Parikh is a double board-certified psychiatrist and the Chief Medical Officer at Soul Mental Health. He oversees clinical strategy for a multisite outpatient group and completed his residency at Mount Sinai.

Dr. Amit Parikh is a child and adolescent psychiatrist serving as the Chief Medical Officer at Brave Health. His work focuses on utilizing virtual care to treat complex and chronic patient populations within the Medicaid system.

Episode Highlights

[00:00:00] The Measurement Gap in Psychiatry

Dr. Arpan Parikh notes that psychiatry has historically been late to adopt hard metrics compared to specialties like cardiology. He suggests that clinicians often believe their work is too special to be quantified by standard logic. This mindset must shift toward accepting that psychiatric treatment can and should be measured to ensure progress. Embracing measurement is a necessary evolution for the field to align with modern medical standards.

[00:09:44] Understanding Measurement-Based Care

Dr. Amit Parikh defines Measurement-Based Care as the use of objective tools to track patient progress over time. While it is treated as a modern buzzword, it is actually the foundation of most medical fields. These tools provide extra data points rather than replacing the clinician’s subjective expertise during a visit. Incorporating these measures allows for a more comprehensive understanding of the patient’s journey toward their goals.

[00:15:39] The Over-Rotation to Clinical Scales

While the push for measurement is positive, there is a risk of focusing too heavily on standard scales like the PHQ-9. Dr. Arpan Parikh argues that we must look beyond these simple questionnaires to more sophisticated data-gathering methods. This includes using technology to understand the nuances of a patient’s daily life and behavioral patterns. Moving past basic forms will help clinicians avoid the pitfalls of a narrow data window.

[00:23:02] Virtual Care for Complex Populations

Brave Health utilizes virtual platforms to reach Medicaid populations who often face significant barriers to in-person care. Dr. Amit Parikh emphasizes that these treatments are effective when care is made feasible for the patient to attend. Consistency in treatment remains the most significant driver of positive outcomes for serious mental illness. Virtual care allows organizations to meet patients where they are rather than expecting them to navigate complex transportation.

[00:31:41] AI as a Superpower for Clinicians

AI tools offer a way to integrate diverse data sources into the initial clinical assessment for better accuracy. Dr. Arpan Parikh identifies collateral information from family members as a critical but manual task that technology could automate. This would allow psychiatrists to make more accurate differential diagnoses without adding to their administrative burden. Utilizing technology for these tasks creates a more efficient workflow for the entire clinical team.

[00:41:45] Synthesizing the Clinical Information Overload

Medicine has become increasingly complex, making it difficult for clinicians to review every patient note and lab value. Dr. Amit Parikh describes a need for AI models that can provide concise summaries of events between visits. This capability would make each clinical encounter more impactful by ensuring the physician is fully informed of the patient’s history. Synthesizing this data helps bridge the gap created by the limits of human information processing.

Learn more: jiminihealth.com

The Measuring Gap: How AI and objective data are finally transforming psychiatric care, with Arpan & Amit Parikh

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