How We Work
How MedCentralHub sources, structures, fact-checks, and updates the medical information on this site — and how we handle corrections, conflicts of interest, and our use of automation.
Last updated: May 23, 2026
Guiding Principles
MedCentralHub exists to make trustworthy medical reference content accessible to anyone who needs it. Our editorial policy is built on four principles:
Sources
MedCentralHub draws its core content from a curated set of authoritative, publicly available datasets. Our principal sources are:
Currency
Drug labels, recall notices, and clinical guidelines change frequently. Our update workflow is designed to keep MedCentralHub current without manual lag:
Verification
Every clinical claim on MedCentralHub passes through a multi-step verification process:
Corrections
We take corrections seriously. If you believe a page on MedCentralHubcontains an error, please email correction@medcentralhub.com with the page URL and a description of the issue. Where possible, include the authoritative source (FDA label section, peer-reviewed citation, guideline reference) that supports your correction.
We acknowledge correction emails within 2 business days. Substantive clinical corrections are evaluated by an editorial reviewer with relevant expertise and, where warranted, published within 5–10 business days. For corrections that materially change the meaning of previously published content, we note the change and the date at the bottom of the affected page.
Minor typographical or formatting fixes are made silently. Clinical content changes are dated and described.
Authorship
Most pages on MedCentralHub are produced by the MedCentralHubEditorial Team — a collaborative effort spanning writers, software engineers, and clinicians. We publish under the team byline rather than individual bylines for most content because page content is the product of dataset ingestion plus editorial structuring rather than any single author's opinion piece.
Where individual contributors author substantive long-form pieces (educational guides, condition deep-dives, opinion or analysis), we attribute the byline by name and disclose relevant qualifications and any conflicts of interest. Reviewing clinicians, when used, are credited separately from authors.
Independence
The MedCentralHub Editorial Team does not have financial relationships with pharmaceutical manufacturers, medical device makers, insurers, or pharmacy chains. We do not accept payment, gifts, or other compensation in exchange for favorable coverage of any product, and we do not allow advertisers to influence editorial decisions.
The site is supported by display advertising served through standard ad networks (including Google AdSense). Ad placement is technically separated from editorial production; advertisers do not see or approve editorial content, and editors do not see advertiser identities when producing content. Sponsored or paid content, when published, is clearly labeled as such — but as of this writing, MedCentralHub does not publish sponsored content.
Individual contributors are required to disclose any potentially conflicting financial relationships (consulting, equity, employment) at the time they join the team and to update disclosures as situations change. Pages authored by an individual with a relevant disclosed relationship are reviewed by an unconflicted editor before publication.
Automation Disclosure
MedCentralHub is built with a programmatic content pipeline. Drug and condition pages are assembled from authoritative public APIs (OpenFDA, RxNorm, MedlinePlus, ICD-10, CDC, NIH) using deterministic code — not large-language-model generation. The clinical facts on a drug page originate from the FDA-approved label or another cited source, mapped into a structured page by software the editorial team builds and maintains.
We do not use generative AI (such as ChatGPT, Claude, Gemini, or similar large language models) to write clinical content. We consider LLM-generated clinical text unreliable for the purposes of a medical reference site because such models can fabricate facts, hallucinate citations, and produce plausible-sounding inaccuracies that are difficult to detect at scale.
We may use automation for routine, non-clinical tasks: spell-checking, grammar review, accessibility audits, broken-link detection, schema validation, and similar housekeeping. Where any AI assistance has been used in producing prose on a page, we will say so on that page.
Aggregation, summarization, and structural transformations of the underlying public-domain data are programmatic but rule-based. The editorial team reviews and refines the templates that drive that programmatic assembly.
Your Trust
Trust in a medical reference is earned page by page. We commit to transparency about sources, currency, authorship, and automation; to acting promptly on corrections; and to keeping editorial decisions independent of commercial interests. We invite scrutiny and welcome feedback through our Contact page.
For the legal terms governing your use of the site, see our Terms of Service and Privacy Policy. For the limits of what this site can and cannot do for you medically, see our Medical Disclaimer.