Healthcare Solutions
What healthcare teams build once their data estate has a Semantic Twin: governed test data, statistically representative synthetic cohorts, and accelerated payor workflows.
Safe data access should not take weeks
Three things slow healthcare data work down before a single model is trained.
| Field | Value | Status |
|---|---|---|
| patient_id | PT-89421 | Pending review |
| mrn | M-902418 | Awaiting approval |
Safe access takes weeks, not hours
Compliance reviews, manual de-identification, and multi-team handoffs delay every data request.
| Field | Value | Status |
|---|---|---|
| diag_code | [REDACTED] | Broken join |
| claim_amount | NULL | Utility lost |
Anonymization breaks data utility
Blanket redaction destroys the relationships that make data useful for analytics and AI.
| Field | Value | Status |
|---|---|---|
| ssn_hash | SHA256:*** | Untracked |
| export_date | 2024-04-12 | No audit log |
No unified evidence trail
Transformation records live in separate systems, making audits painful and incomplete.
Choose your operational challenge
Explore how KronosX turns healthcare semantics and deterministic privacy into operational solutions across your enterprise.
Production data carries too much risk for test environments.
Referentially intact, de-identified datasets delivered in hours instead of weeks.
Healthcare test data management
Traditional TDM masks random columns, breaking foreign key chains and leaving test environments brittle. KronosX generates referentially intact, multi-table test slices on demand.
Referential integrity
Preserves relationship consistency between members, coverage spans, claim headers, and line items across every underlying table.
Valid EDI generation
Generates syntactically and semantically valid ANSI X12 files for core admin testing.
- 834 enrollment
- 837 claims
- 835 remittance
CI/CD pipeline integration
Provision ephemeral test environments in minutes through automated APIs, replacing months of compliance ticketing and manual data prep.
Synthetic healthcare data
Generate net-new synthetic patient cohorts that mirror your population's clinical distributions, comorbidities, and demographic trends, without copying a real patient record.
| Dimension | Conventional masked data | KronosX synthetic data |
|---|---|---|
| Re-identification risk | Residual risk remains; linkage attacks can re-identify rare disease combinations. | Records are generated from learned distributions rather than copied from patients. |
| Clinical realism | Distorted by masking; cross-field correlations such as age and pregnancy diagnosis are frequently broken. | Grounded in the Semantic Twin; preserves clinical plausibility and diagnostic rules. |
| Edge-case scenarios | Limited to whatever historical records happened to be captured in the database. | Intentionally over-sample rare conditions and complex multi-payer coordination cases. |
| Compliance clearance | Requires a full BAA, rigorous governance review, and restricted network zones. | Designed for sharing with external vendors, hackathons, and third-party development teams. |
Engineered for health plans and payors
Proven in production with Blue Cross Blue Shield plans and large state health plans to accelerate claims processing, member analytics, and actuarial model development.
- Subscriber vs dependent
- Resolves family group policies, split coverage windows, and coordination of benefits rules without manual mapping.
- Claim adjudication, header and line
- Maintains line-item service dates, revenue codes, modifier logic, and reimbursement status across historical claims.
- Dual-eligible and Medicare rules
- Handles CMS risk adjustment codes (HCCs), Medicaid enrollment spans, and dual-eligible benefit coordination.
Where to go next
- Security & privacyZero egress, isolated VPC deployment, and HIPAA Safe Harbor de-identification with audit evidence.
- About KronosXThe team and architecture behind the layer between healthcare data and healthcare AI.
- Request a demoTell us about your data estate and we will show you the work on schemas like yours.
Give your healthcare data estate a Semantic Twin.
Talk to our team about your estate, your systems, and where your AI work is waiting.
Request a demo