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

Episode notes

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.

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