Population
A full demographic cross-section, skewed where disease burden lives
Coverage spans every decade of life, with the deepest cohorts in the 50–80 range — where cardiometabolic, oncologic and neurodegenerative research recruits.
Longitudinality
Patients you can follow for years, not visits
730,000 patients have more than a year between first and last encounter; 484,000 have three or more years — enough runway for outcomes, progression and treatment-pathway studies.
Clinical volume
58.7 million coded diagnosis records
Fully ICD-10-CM coded, running at 8–9 million records a year at peak, with over half a million active patients annually.
Condition coverage
Cohorts at power across nine disease domains
Thirty-six tracked chronic conditions and twenty oncology cohorts, defined on ICD-10-CM. From 573,000 hypertension patients to rare-disease cohorts in the hundreds — with the linked history behind every one.
Comorbidity structure
Disease doesn't come one at a time — neither does this data
604,000 patients carry two or more tracked conditions. The co-occurrence matrix below is the raw material for phenotyping, risk models and trial-eligibility engines.
Care settings
From clinic desk to ICU — the full care continuum
10.5 million encounters across ambulatory, emergency, inpatient and observation settings, with claims capturing place of service on the billing side.
Unstructured data
From clinical narrative to analysis-ready variables
Assessment-and-plan notes and imaging reports ship alongside the structured tables — and an LLM extraction pipeline renders them computable. Every report is read by two independent models, reconciled, and adjudicated by clinical reviewers. Watch it work on a de-identified echocardiogram report:
Live extraction — echocardiogram report
Verbatim de-identified source text, dictation typos included — the model reads through them
Findings are consistent with bilateral pulmonary artery branch stenosis.
Small patent foramen ovale with left to right shunting of no hemodynamic significance
There is trivial bilateral peripheral pulmonic stenosis wwith a gradient of 10 mmHg in the RPA and 12 mmHg in the LPA
No PDA
aortic arch and pulmonary veonous returns was normal.
NOrmla ventricular function witha LVSF of 40% and an EF of 74%
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Read by: PERSON On: DATE
Signed Electronically by: PERSON On: DATE
Structured output
Entity → value pairs, linked by relation, with source evidence
Data model
Nine linked domains, one patient key
Every record joins on a stable de-identified patient ID, harmonized across three specialty feeds: cardiology & oncology, neurology, and behavioral health.
Demographics
Age, sex, race, ethnicity. <0.01% missing DOB; <0.01% conflicting records after harmonization.
Diagnoses
ICD-10-CM with description, code set and primary/secondary flag, tied to encounters.
Encounters
Typed visits — clinic, ED, urgent care, inpatient, observation, surgery — with facility and dates.
Claims
Claim lines with CPT code, place of service, and encounter linkage.
Procedures
Procedure records with CPT code and description — imaging, surgery, therapy.
Laboratory
Test code and name, result value, units, and reference ranges, per encounter.
Medications
Medication name, coded prescription, sig/instructions, quantity, refills, med-rec flags.
Vital signs
Timestamped measurements with value and units, tied to encounters.
Clinical notes
Assessment & plan notes and imaging narratives, de-identified — with LLM-extracted measurements delivered as structured variables.
All records are de-identified at source; patient IDs are irreversible hashes. Every statistic on this page is an aggregate, and any cell counting fewer than 11 patients is suppressed.