Questions, answered and sourced

SecondLook Health is a physician-founded Clinical Intelligence as a Service (CIaaS) platform. It reads complex medical records the way a physician would, reasoning across thousands of pages, and turns them into structured clinical insight: clinical summaries, medical timelines, standard-of-care assessments, and coded data. Every conclusion is traced back to the exact source page it came from and supported by published clinical literature.

Two groups. Organizations (workers' compensation carriers and TPAs, managed care organizations, self-insured employers, hospitals and health systems, and malpractice insurers) use SecondLook to manage clinical risk across a portfolio of claims or cases. Independent practitioners (legal nurse consultants, life care planners, MSA consultants, and IME/QME experts) use it to produce physician-grade, defensible case analysis priced per case. If you're not sure which fits you, the Workers' Compensation and Clinical Consultants pages each lay out the workflow in detail.

Common use cases include claims case management and risk flagging, Medicare Set-Aside (MSA) creation, IME/QME preparation, standard-of-care and peer review, life care plans, and medical chronologies. In each, SecondLook handles the record extraction and synthesis so your team can focus on judgment and decisions.

You create a case by uploading medical records in any format, up to tens of thousands of pages. The AI produces structured outputs: a clinical summary, an interactive medical timeline, standard-of-care analysis, and extracted CPT4, ICD-10, and HCPCS II codes. You can ask the record questions directly through our AI analyst, “Scout,” and export branded reports or push structured data into your systems via API.

Accuracy is the core of the product. Data abstraction accuracy is third-party validated at 99%, benchmarked against customer physicians, and every finding links to the exact source page it came from. One click, no black box. It's a closed-system AI, grounded in the actual record and, where it matters, backed by peer-reviewed literature, and your records are never used to train external models.

Here's why that matters beyond speed. A medical summary is evidence, not a convenience. Once it feeds a reserve, a settlement, a subrogation or contribution decision, every error in it travels downstream, and the liability sits with the carrier, not the vendor. So the real question isn't whether a summary is fast, it's whether your team can defend it. Three things make it defensible: accuracy you can measure, every line traceable to its source page and the literature, and your qualified clinician accountable for the conclusion.

Three kinds of AI claim this work, and only one actually reads the medicine.

• Legal-tech summarizes the record into chronologies, bookmarks, and keyword hits. It organizes the chart instead of reasoning about it.
• Insure-tech counts: it reads structured claim data, the codes, dates, dollars, and flags, and never opens the clinical question, because the answer isn't in the metadata.
• SecondLook is clinical-tech. It reads the full record the way a clinician does and reasons over it: causality, standard of care, comorbidity, and future care, with every conclusion tied to the exact source page and the published literature.

Accuracy is the other dividing line. Most tools in this space are never validated, or they trade instant output for high error rates. SecondLook's data abstraction accuracy is third-party validated at 99%, benchmarked against customer physicians, and every finding links back to its source page so your reviewer can verify it in one click. The output isn't the decision. Your clinician still makes the call. The difference is our customers reach the judgement in minutes, on evidence they can trust and defend, instead of hours spent assembling the chart by hand.

It depends on the job you're hiring SecondLook for. On the legal and consultant side, you often want depth on a few files: a complex claim with a real clinical dimension where you need a defensible read of the medicine, not coverage of the whole book. Send those, and the engine does the hard clinical work so your expert can reason and sign.

In case management, the opposite is usually true. There you want a clinical-risk read on every claim, so the system can prioritize patients by intervention opportunity, flag the file that looks simple but is about to escalate, and surface where a timely intervention changes the trajectory and the cost. Same engine, two settings: depth on the complex files when that's the need, breadth across the portfolio when the goal is to find and rank the claims worth acting on. Your team decides which, and your clinicians still own the calls.

Send the raw records. The collect, crawl, and summarize work other systems produce doesn't carry into ours, because we rebuild the underlying clinical data to our own standard before analysis. The one thing that genuinely helps on the front end is de-duplication. If your team already has a summarization process it likes, the cleanest path is to route your de-duped cases to SecondLook.

Cases routinely run from a few hundred to 20,000+ pages. Your first case is free, up to 2,000 pages.

Yes. Adjusters, attorneys, and claims staff get clear, structured clinical insight without needing to parse raw charts. At the same time, the analysis is physician-grade and fully sourced so the clinicians and experts who sign their names to reports can verify every finding against the original record before they rely on it.

Yes, and the decision is yours, not ours. SecondLook is a clinical reasoning engine, not an autonomous system and not a replacement for your clinical staff. The AI reads, synthesizes, and cites the record; your credentialed professional, the nurse consultant, allocator, case manager, or medical director, reviews it, makes the clinical judgment, and signs. Nothing leaves without your human owning it. The way we put it: you don't have to write the term paper anymore, but you still grade it, and the grade is yours. The point is leverage, letting one expert's judgment cover far more cases without giving up control of the call.

(For self-insured employers who use our managed service rather than the software, that accountable clinician is our certified MSCC consultant.)

It fits by design. The direction of regulation is that any AI output touching an insurance decision needs an accountable human behind it, and that is exactly how SecondLook works: your credentialed reviewer signs every work product, with full source traceability so they can verify it rather than take it on faith. Some specific rules, such as state measures aimed at AI-supported underwriting, govern a different part of the business than the one we operate in, since we sit in claims and medical review. The principle behind them, human accountability for AI-influenced decisions, is the standard the product is built to meet.

Yes. SecondLook is SOC 2 Type II certified and HIPAA compliant, and runs on a closed-system AI: your data stays yours and is not used to train external models. Security is built for sensitive clinical and legal records.

For independent practitioners, SecondLook is priced per page, and your first case is free, up to 2,000 pages, with no commitment. For organizations, it's available as a SaaS platform or an API integration, scoped to your operation.

Independent practitioners can start a free case right away at app.secondlookhealth.ai/register, no IT setup or onboarding required. Organizations evaluating SecondLook across a book of claims should reach out to the team to scope a pilot. Either way, you can see physician-grade, source-traceable analysis on your own records before committing.

Yes. Beyond the SaaS platform, SecondLook offers API access, so structured clinical data and findings can flow into your existing adjuster, nurse, or claims workbenches.