Public health data was never built to be read together.
Unicasys cross-references industry payments, device malfunction reports, and trial registries — turning millions of disconnected filings into one searchable signal.
Five registries. One record of truth.
Each source publishes on its own schedule, in its own format, with its own quirks. Unicasys normalizes all five so a physician, a device, a facility, or a sponsor reads the same everywhere.
OpenPayments
Track industry payments to providers and teaching hospitals — consulting fees, research funding, ownership stakes — patterned across specialties and institutions.
MAUDE
Surface device malfunction and adverse event reports as they're filed — spotting the pattern of a recall long before the recall notice exists.
ClinicalTrials.gov
Follow trials from registration to results — flagging enrollment gaps, missed deadlines, and sponsors who never post outcomes.
Publications
Link peer-reviewed research on PubMed back to the physicians, sponsors, and trials that produced it — citation by citation.
Facilities
Track hospitals, surgical centers, and care facilities — ownership, quality ratings, and how they tie back to the payments and devices above.
From raw filing to flagged signal.
Pulled at the source
Filings are ingested directly from CMS, FDA, NIH, and NLM as they're published — no scraping delay, no stale exports.
Matched across registries
The same physician, device, facility, or sponsor is resolved across five inconsistent naming conventions into a single entity.
Outliers surfaced
Statistical thresholds and cross-source correlation flag what's worth a closer look — before it's news.
How records become one entity.
Matching is deterministic and reproducible end to end: every record carries a stable, content-addressed ID, and the same real-world person, device, facility, or sponsor always resolves to the same entity — no matter which registry it came from.
Canonical names
Names are lowercased, legal suffixes stripped (Inc, LLC, Corp), and punctuation removed — so "Company X Corporation" and "company x corp." collapse to the same key.
Stable content-addressed IDs
A hash of the normalized name plus a type prefix (pro_, co_, fac_, dev_) yields the same entity ID every time the same record appears. No sequential keys, no drift between loads.
NPI, NCT, CCN anchors
Providers, trials, facilities, and devices anchor on their official identifiers, so payments, enrollments, and event reports attach to the right record instead of a text guess.
Bridge tables
Manufacturer and taxonomy cross-walks reconcile company aliases and provider specialties across OpenPayments, MAUDE, and trial sponsors — the step that connects a device maker to a trial it funds.
Blocking & collapse
Records are grouped by blocking keys and deduplicated, so alias sets collapse into one canonical entity instead of a pile of near-duplicates.
Bloom-filter narrowing
A compact bloom index prunes candidate sets in milliseconds, so searches and link queries run across millions of resolved entities without scanning everything.
A single-person research project.
Unicasys is built and maintained by one person E. Hakim. It exists to read public U.S. government registries — CMS Open Payments, FDA MAUDE, ClinicalTrials.gov, and PubMed — as a single graph. All data comes from public sources; analysis, matching, and any conclusions are our own.
Provided "as is", without warranty.
No warranty. Unicasys is provided on an "as is" and "as available" basis, without warranties of any kind, express or implied — including, but not limited to, implied warranties of merchantability, fitness for a particular purpose, accuracy, completeness, or non-infringement.
No liability for inaccuracies. All data on this platform is produced by automated ingestion, matching, and calculation. We do not warrant that any calculation, aggregate, match, identification, or signal is correct, complete, or current, and we accept no responsibility or liability for any inaccurate calculation, mis-identification, omission, or error, or for any decision or action taken in reliance on the platform.
Your responsibility to verify. It is your full responsibility to validate, verify, and cross-check any finding or figure shown here against the original primary data source before relying on it for any purpose. The underlying records come from public U.S. government registries — CMS Open Payments, FDA MAUDE, ClinicalTrials.gov, and PubMed — and those original sources are the authoritative reference.
No professional advice. Nothing on this platform constitutes legal, medical, financial, investment, or compliance advice.