Superinsight blog

Field notes on medical records and the cases they decide

Buyer’s guides, published pricing, case studies, and conversations with the attorneys and advocates who read these files for a living.

Christopher Pozios with Luke Connally and Nelson Chu on Beyond the Case Files

Latest episode

Christopher Pozios: from burnout to balance

Luke Connally and Nelson Chu talk with Christopher Pozios about scaling a disability practice intentionally: lean operations, workflow design, and growth that does not cost your clarity or your health.

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Guides

How the work gets done

Methods, templates, and the questions to ask before you hand a file to anyone, whether the reader is software or a person.

What is an AI Medical Chronology?

What a medical chronology is, why it has always been hard to build, and what AI has to get right, with an interactive sample case.

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How to create a medical chronology

The seven-step method, the four-column template, and what changes when software does the extraction instead of a reviewer.

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Medical record review software for PI firms

What a plaintiff firm should test before it buys: verifiable findings, review responsibilities, data terms, and the true cost.

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How to choose medical chronology software

Features, costs, and implementation: a framework for matching software to how your firm already works.

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Medical chronology services: a guide for law firms

AI versus manual services, what each costs, and how to tell which one a given case actually calls for.

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Medical record review: best practices for attorneys

Systematic approaches, technology integration, and the privacy obligations that come with moving records around.

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When a record review vendor gets it wrong

A missed record cost one firm $2.3 million. What went wrong, and the diligence that would have caught it.

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AI and the five-step sequential evaluation

How structured record review maps onto the SSA’s evaluation process, step by step, and where the time actually goes.

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Why disability firms miss ERE updates

Missed ERE updates are a systems problem, not an attention problem. What automated monitoring changes.

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