Five named assets. Each compounding.
Most concierge health services sell bespoke deliverables — every engagement starts from zero, every report is improvised. We designed Ternary Health differently. Every engagement feeds a proprietary data foundation that makes the next engagement faster, sharper, and more defensible.
What a research firm looks like, applied to medicine.
A top-tier quantitative research firm doesn’t rebuild its database from scratch with every client. It curates controlled vocabularies, maintains pattern libraries, and turns every engagement into inputs for the next one. The firm’s edge isn’t talent alone — it’s the compounding of disciplined infrastructure.
Medical research synthesis is structurally the same problem. Most of the work is pattern recognition across heterogeneous data. Most mistakes are rediscovering failure modes someone has already seen. Building the infrastructure is not optional if you care about quality at scale.
Pavel Paramonov, our computational-physicist co-founder, is responsible for the architecture of these five assets. Beau Giannini leads the controlled-vocabulary and case-capture design — so what gets into the Case Library is what actually matters for later pattern analysis.
Built deliberately. Named explicitly.
A structured database of every engagement.
Condition, case profile, interventions recommended, interventions actually pursued, outcomes. Each client becomes a row with hundreds of fields — symptoms coded to a controlled vocabulary, labs normalized to reference ranges, genetic variants flagged against a curated relevance list.
A controlled vocabulary of lab patterns, genetic variants, symptom clusters, and comorbidity combinations — each mapped to its relevance weight for specific conditions.
This is the scaffolding for Stage 4 of the workflow (signal analysis). It's what makes our recommendations feel non-generic: your case doesn't just get reviewed, it gets matched against the specific patterns known to matter in your condition. The Signal Dictionary is built as a graph, not a list — patterns and their interactions are both first-class entries.
A living document per condition tracking guidelines, recent literature, and evidence grades per intervention.
Every client engagement updates it. What the current consensus says, what recent trials are showing, which interventions have what evidence grade, where new data is emerging. It's how we stay current without redoing literature reviews from scratch each time — and how we maintain the 'Evidence' axis of the Ternary Method.
A curated network of clinicians and institutions — who's known for what, what they've actually delivered for clients, what patients reported afterward, how accessible they are.
This compounds dramatically. After 50 cases, you know which surgeons actually understand Madelung's Disease, which POTS specialists take new patients, which lipedema PTs are worth the trip. Inclusion in the graph reflects published authorship, clinical track record, client-reported experience — not endorsement, not sponsorship.
The long-term asset. What happened to clients 3, 6, 12 months after engagement.
Which recommendations correlated with improvement. Which specialist referrals worked. Which didn't. This is what lets us eventually say: 'Among our Madelung's Disease clients who pursued staged open excision with Surgeon X and implemented the metabolic protocol, 80% reported reduced recurrence at 18 months.' — a claim that requires data no one else has.
Better quality. Less time. Higher margin.
By our tenth engagement, Stages 3 through 6 are roughly 60% templated and 40% custom. The customization is where the real work happens — but the scaffolding is already in place, so our time goes to reasoning, not reinvention.
By our hundredth engagement, we’ll be delivering better quality in less time at higher margin — and the data itself starts to become licensable, publishable, and fundable. Not as a pivot away from client work, but as a byproduct of doing that work with discipline from day one.
It is not a shortcut.
Every engagement is still worked by a research team of human beings using the Ternary Method. The Case Library accelerates pattern recognition. It doesn’t replace the thinking. Your case is your case — not a lookup.
Your data is never shared with other clients or third parties. Patterns learned across engagements are aggregated and de-identified in the Case Library; the source records stay with the engagement that produced them. Our privacy practices are described in the Privacy Policy.
Work with the research firm behind the method.
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