Healthcare Data, end-to-end.
Governed, Activated, Trusted.
In brief
InterScripts healthcare data management designs and runs modern healthcare data platforms: ingestion, modeling, governance, and activation, on lakehouse foundations. HITRUST-grade controls, FHIR-native interfaces, and 200B+ records under management. Pre-built OMOP and FHIR-native data marts, dbt-powered transforms, and population health models ship with a 30-day median time-to-first-insight.
200B+
Records
99.9%
Pipeline SLO
30d
TTFI Median
Data platform · pipeline
Ingest
HL7 · FHIR · flat files
Model
OMOP · FHIR R4
Govern
Lineage · PHI tags
Activate
Analytics · AI
- HL7 v2 and FHIR R4 interfaces
- OMOP CDM v5.4 marts
- Lineage and PHI classification
- Population health and AI models
Certified
HITRUST r2 Environment
SLO
99.9% Pipeline
Proven at petabyte scale.
Running the data backbone for academic medical centers, integrated delivery networks, and digital health innovators, measured by uptime, defensibility, and how quickly clinicians and analysts can act on what we deliver.
Records Under Management
Pipeline Reliability SLO
Day Median Time-to-Insight
Health Systems Served
The outcomes that define a modern data platform.
Healthcare data is heterogeneous, regulated, and consequential. The benchmarks below are how we measure platform health for every engagement, and how leadership measures us.
Trust your data, every time.
Lineage-tracked, governed, de-identified, and contract-validated. From ingestion to activation, every record carries the metadata regulators and clinicians need.
Activate insights in days, not quarters.
Pre-built OMOP and FHIR-native data marts, dbt-powered transforms, and population health models ship with a 30-day median time-to-first-insight.
Scale to petabytes without breaking the budget.
Lakehouse-native architecture on Snowflake, Databricks, Synapse, or BigQuery. Pay for what you use; auto-tune storage tiers; retire legacy warehouses.
Service Pillars
Four layers. One data backbone.
We deliver the full stack, or augment whichever layer you already own. Every engagement is built to integrate with what works and replace only what should be replaced.
18,420
Events / sec
1.4s
Lag · p99
99.97%
Uptime
- HL7 v2 · ADT / ORM / ORULive
- FHIR R4 · Bulk + SMARTLive
- X12 837 / 835 / 270 / 271Live
- Kafka / Kinesis / Event HubsStreaming
Stream every signal, clinical, claims, devices, finance.
HL7 v2, FHIR R4, X12, and event-driven Kafka and Kinesis pipelines unify EHR, payer, IoT/RPM device telemetry, lab, ERP, and CRM signals into a single governed lakehouse. Schema-on-read for the messy stuff, contract-validated for the rest.
- HL7 v2.x, FHIR R4, X12 837/835/270/271/278
- Real-time Kafka, AWS Kinesis, Azure Event Hubs
- Epic Clarity / Caboodle, Cerner CCL, Meditech Expanse
- CDC from Oracle, SQL Server, PostgreSQL, MongoDB
240
Models · prod
86
Data Contracts
100%
Lineage Cov.
- OMOP CDM v5.4Active
- USCDI v4 · FHIR-native martsActive
- Star · Snowflake · Data VaultHybrid
- SCD-2 historyDefault
Open models that speak the language of healthcare.
OMOP CDM for research, FHIR-native marts for interop, and bespoke domain models for revenue cycle, supply chain, and population health. dbt + data contracts keep producers and consumers honest; SCD-2 history is on by default.
- OMOP CDM v5.4, USCDI v4, FHIR-native marts
- dbt Core + dbt Cloud, semantic layer, data contracts
- Star, snowflake, vault, and one-big-table when it makes sense
- Versioned models with full lineage in Atlan / Collibra
r2
HITRUST
II
SOC 2 Type
Pt. 11
21 CFR
- De-identification · Safe Harbor + EMAuto
- MDM golden records3.2M
- Consent · purpose-of-useLogged
- Break-the-glass auditingOn
Compliance baked in. Lineage that holds up to audit.
HITRUST r2-certified environments, automated de-identification (Safe Harbor + Expert Determination), consent management, and MDM golden records. End-to-end lineage from ingestion to dashboard cell, defensible to OCR, payers, and your own ethics board.
- HITRUST r2, SOC 2 Type II, HIPAA, GDPR, 21 CFR Part 11
- De-identification: Privacy Analytics + custom rule engines
- MDM on Reltio, Informatica, Profisee, patient + provider + payer
- Consent, purpose-of-use, and break-the-glass auditing
4.2K/s
FHIR API Calls
180+
Dashboards
24
ML Models · Live
- Population health · risk stratActive
- Readmission models · v2.4Serving
- Feast / Tecton feature storeSynced
- Power BI · Looker · TableauEmbedded
From governed data to decisions that move the needle.
Population health dashboards, AI/ML feature stores, embedded BI in Looker, Power BI, and Tableau, and FHIR APIs that power apps, partners, and SMART-on-FHIR. The point of governed data is to use it, confidently.
- Population health, risk stratification, readmission models
- Feature stores on Feast, Tecton, Databricks Feature Store
- Embedded analytics in Epic Cogito, Power BI, Looker, Tableau
- FHIR R4 APIs, bulk export, SMART-on-FHIR app launches
From raw signal to decision-ready data.
Every record flows through five governed stages, and every stage is observable, lineage-tracked, and SLO-bound.
Governed against
Lakehouse
Streaming & DataOps
MDM & Catalog
Our Certifications
InterScripts maintains the highest certification levels and regulatory standards to ensure safety, security, and compliance for every client.
Voice of the Customer
Trusted by the teams who run healthcare data.
“They migrated 18 years of clinical and financial data into Snowflake on time, and the lineage manifests held up to our internal audit, first try.”
VP, Data & Analytics
Integrated Delivery Network
“OMOP marts that actually work for our research teams, FHIR APIs that work for our app partners. One platform, two audiences, zero duplicated effort.”
Chief Data Officer
Academic Medical Center
“We measured time-to-first-insight before and after the rebuild, went from 11 weeks to 26 days. That alone paid for the engagement in the first quarter.”
Director, Population Health
Regional Health System
Let's build it together
Ready to modernize your data backbone?
Let's talk.
Bring us your messiest data problem, legacy migrations, FHIR rollouts, OMOP research platforms, MDM redos. We'll scope a 30-day proof of value and ship something measurable.
What do health systems ask about data management?
What does InterScripts healthcare data management cover?
Data governance, master data management (patient, provider, payer, NDC, RxNorm, NPI), analytics enablement on Snowflake / Azure Synapse / Databricks, FHIR API gateways for legacy systems, HL7 v2 to FHIR mapping, CCDA generation from archived records, and intelligent archival via BytePad.
How does BytePad fit into data management programs?
BytePad is the AI-native archival and intelligent-retrieval platform that activates decades of legacy clinical, financial, and operational data. It is used to retire legacy EHRs and ERPs while keeping defensible, FOIA-ready chain-of-custody and FHIR / REST access to the archived corpus.
Does InterScripts support FHIR R4 and USCDI v3 data exchange?
Yes. The platform team supports FHIR R4 implementation, USCDI v3 data-class coverage, TEFCA-aligned QHIN connectivity, and HL7 v2 to FHIR translation for legacy interfaces.
How much data does InterScripts manage today?
InterScripts has managed 10+ petabytes of structured and unstructured data across healthcare, education, and finance, including 300+ historical EHR / HIS migrations.
Is the data management service HIPAA, HITRUST, and HHS-aligned?
Yes. All engagements operate under HITRUST r2, SOC 2 Type II, and ISO 27001:2022 controls, with HIPAA Privacy and Security Rule alignment and references to NIST SP 800-53 / 800-66 for federal customers.