Native cohorts
Deterministic generation for patients, clinical facts, demographics, and upstream provider records.
Generate synthetic patients across simulated upstream HIE and provider feeds — duplicate identities, mismatched identifiers, partial availability, stale addresses — then export FHIR (US Core), C-CDA, HL7v2, X12, and OMOP.
Free sandbox — no credit card required.
{ "scenario": "mpi-hard-matches" }
{ "duplicateRate": 0.15 }
{ "export": "FHIR R4 NDJSON" }
Patient identities, source records, clinical resources, and exports move as a visible system instead of a black-box fixture dump.
The public demo returns a capped preview, a small FHIR Bundle sample, and a C-CDA snippet. It is rate-limited and hard-capped at 10 patients; sign up for full-scale generation, exports, and delivery.
Deterministic generation for patients, clinical facts, demographics, and upstream provider records.
Control duplicate rates, address drift, missing phones, upstream availability, and provenance.
Export FHIR US Core Bundles and bulk NDJSON, C-CDA documents, HL7v2 messages, X12 837/835, and OMOP CDM (including Parquet). Saved exports expire after 30 days to keep accounts lean.
MediSynth exposes the evidence engineers need to evaluate synthetic-data lineage, document fidelity, and failure-path behavior—without relying on invented testimonials or certification claims.
Every cohort includes an Ed25519-signed PHI-free attestation with its seed, generator version, structural checks, and a SHA-256 digest for every file.
C-CDA flavor modeling is backed by 401 public-domain ONC 2015 Certification samples across 52 certified-EHR vendor directories, all describing fictional patients.
Structural US Core and C-CDA R2.1 validators produce concrete findings; HIE scenario packs export JUnit XML, SARIF 2.1, and JSON for repeatable CI gates.
Review active incidents, service checks, and the public 90-day uptime history.
Open status historyConformance packs are MediSynth-authored scenario checks for testing; they are not official accreditation or certification.
Start with the patient population your product needs to prove, then keep every cohort repeatable enough for demos, regression tests, and implementation handoffs.
Pick geography, demographics, source systems, conditions, prevalence, and identity-variance controls.
Use deterministic seeds so the same scenario can be rerun by sales engineering, QA, and product teams.
Review patient summaries, source records, quality signals, FHIR Bundles, and NDJSON artifacts before handoff.
Track API keys, credits, coupon-backed usage, retained cohorts, and 30-day artifact windows from the console.
The console is built around metered API access: workspaces, API keys, patient quotas, usage ledgers, credit top-ups, and secure email authentication.
Use the console when you want to design visually, or use the API when your test suites, demo environments, and migration tooling need synthetic cohorts on demand.
POST /v1/workspace/tenants/{tenantID}/cohort-jobs
Authorization: Account session
X-API-Key: ms_live...
{
"name": "diabetes-ckd-ed",
"population": 500,
"hie": { "sourceSystems": ["north-hie", "county-clinic", "claims-feed"] }
}