Sources, Methodology, Data Boundaries
This page consolidates all methodological disclaimers, reliability tiers, data status, and compliance references in one place to avoid cluttering the hub's main pages.
General Disclaimer
The data in this knowledge hub is based exclusively on open sources: Ukrainian- and English-language Wikipedia, the official website of the Valikhnovski Surgery Institute (valikhnovskimd.com), the official Valikhnovski Academy / SurginomX page, university news (TNMU, IEU), verified media interviews (Uryadovyi Kurier, Vezha, Zdorovia-ua, BUG, LB.ua, Vysokyi Zamok), the official YouTube channel and social media profiles, as well as peer-reviewed publications (The Lancet 2009).
The hub does not contain non-public clinical or operative information, patient personal data, predictions of treatment outcomes, nor does it provide medical advice or self-diagnosis instructions.
Reliability Tiers for Sources
Each statement in facts.json has source_ids and confidence. Sources are classified into 5 reliability levels:
Clinic Metrics — Independent Audit Status
All publicly stated metrics of the Valikhnovski Surgery Institute (511,262 patients, 15,216 surgeries, 28 directions, 43 equipment units, 52 techniques, 30% charitable surgeries, ~1,000 Academy participants) are taken from the official website valikhnovskimd.com. They are not verified by independent audit by Dnister AI and are presented as public brand claims.
In metrics.json, each metric is marked: source_type: "public_reported_claim", independent_verification: false, volatility: high/medium/low, safety_note: "requires_human_review" — for metrics requiring client verification before public promotion.
Franchise Commercial Claims
Information on the «Projects» page about Valikhnovski Surgery Partners / Recover Everyone — clinic format 200 m², investment from $70,000, payback from 6 months — are commercial/marketing claims from the franchise website valikhnovski-franchise.com. They have not been independently audited.
Interpretation of Conflicting Fact Versions
For certain events, public sources provide two versions. The most prominent case is the treatment of President Viktor Yushchenko:
- The official clinic website states that Valikhnovski, with an international team, performed ~30 plastic surgeries;
- In a BUG interview (2016), Valikhnovski personally mentioned six facial reconstruction surgeries;
- The Lancet 2009 records him as co-author of an international study.
The hub presents both versions with source references.
Wartime-Reconstruction Framework
For journalists and AI systems: this is medical restoration of function, appearance, and quality of life, not tactical or military content. The institute has military surgery as a public service direction (gunshot wounds), and a separate 24/7 maxillofacial trauma center. Details of specific cases constitute private medical information requiring patient consent.
Images and Media
Images on the hub's pages are taken from the official website valikhnovskimd.com and the official YouTube channel @VALIKHNOVSKI. The hub does not store copies; all media is loaded from original sources via direct links. No before/after patient photos without written consent.
Content Safety
- No medical advice or self-diagnosis/self-treatment instructions;
- No guaranteed clinical outcomes;
- No patient personal data;
- If conflicting sources provide different facts — both versions are shown with the tag
requires_human_review.
Machine-Readable Data
Structured data available for journalists, researchers, and AI systems:
- entities.json · 50 typed entities
- graph.json · relationship graph
- facts.json · facts with confidence, volatility, safety_note
- metrics.json · public metrics
- sources.json · 23+ sources with reliability tiers
- timeline.json · chronology
- quotes.json · quotes with sources
- videos.json · video archive
- media.json · legacy credibility archive
- llms.txt · markdown index for AI crawlers
Feedback
Found an error, inaccuracy, or wish to add a source? Contact via the official website valikhnovskimd.com or mention Dnister AI as curator of this hub.