What Providers want to achieve
Drive value-based care performance — close care gaps
Calculate quality metrics
Build 360 patient view and improve patient engagement
Reduce administrative burden
Improve patient outcomes with CDS
Clinical research and trials
Ensure compliance with current regulations
Enable AI workflows
Provide data access to third parties — build an app store
Problem
The Fragmentation Problem
Organizations do not lack data or technology. They struggle with fragmentation across systems, programs, and governance structures. Complex layers of point solutions create operational friction and limit scalability.
Solution
Standards & interoperability
The answer is a shared, standards-based foundation: adopt FHIR and build for interoperability so data moves securely and at scale across systems, and computable clinical logic can run over it to coordinate workflows, govern decisions, and produce auditable outcomes.
AidboxPostgres-based
FHIR® data platform
Mature FHIR products now natively run on Databricks Lakebase
22+
years in Health IT
13+
years FHIR-first
100+
customers in 30 countries
60+
engineers in-house
We turn Databricks into a FHIR-native platform
Mature FHIR products run on the Databricks foundation — no new infrastructure to operate.
FHIR-native layer
Interbox
code-first integration
SDK
type-safe FHIR SDK
Termbox
SNOMED, LOINC, RxNorm
MDMbox
Master Patient Index
Smartbox
SMART-on-FHIR apps
Aidbox
FHIR server & DB
Formbox
FHIR SDC forms
SQL on FHIR
interoperable analytics
data foundationLakebase
managed Postgres
Unity Catalog
governance
Delta Lake
lakehouse
Spark · ML / AI
compute & BI
Databricks gives the lakehouse — Health Samurai makes it speak FHIR.
Data Platform
Data aggregation from multiple sources
Data validation, deduplication, and data quality improvements
Data normalization to FHIR
Advanced analytics and gaps in care
Customers
Clinical research project for large Hospital in Canada
#1 value based care platform in the US
HIE / QHIN
AI-powered clinical-trials matching
Public Health
CDS tools
Provider-facing applications aggregating data from EHRs, medical devices, and external sources for AI/ML analytics and CDS recommendations. Results are delivered back to EHRs in a standard way via SMART on FHIR apps and CDS Hooks.
Customers
FDA-approved tool for sepsis prediction with a seamless clinician experience
Detection of undocumented conditions for value-based care
Patient portals
Aggregate data from multiple sources, collect additional patient-reported data (FHIR SDC), and create a 360 patient view. Enables scheduling, consent management, and other patient engagement improvements.
Customers
Largest PHR in the world, serving more than 25% of the UK population
Collects additional data from patients, shares AI-powered insights, and builds data products for pharma companies
CMS / ONC compliance use cases
Patient Access API, Provider Directory API, Provider Access API, Prior Authorization API (CMS 9115, 0057, 0062, ONC g10, G9). FHIR data access and sharing, SMART on FHIR app store.
Customers
CMS compliance
CMS compliance
ONC compliance, 3rd party app store
ONC compliance, 3rd party app store
What it means for you
01
More complete healthcare data offering fully within Databricks
02
Organic introduction of Lakebase to existing and new clients
03
Making it simple to get more healthcare data to Delta Lake
All these services run in your clients' Databricks infrastructure!
Our pricing is flat-fee, which keeps product costs predictable and sets us apart from hyperscalers and other competitors.
Health Systems
VP / Director of Interoperability
Organization has multiple EHRs or recent EHR consolidation
FHIR/API platform initiative is on the roadmap
SMART on FHIR apps or external app ecosystem is mentioned
HIE, TEFCA, or external data exchange project is active
Teams mention interface engine complexity or duplicate integration work
Enterprise Architect / Solution Architect
Designing reference architecture for FHIR APIs, lakehouse, governance, and analytics
Job posts or RFPs mention FHIR, HL7, Databricks, Spark, Unity Catalog, or API-first architecture
Comparing build vs buy for a FHIR layer, clinical data repository, or interoperability platform
Current architecture depends on custom ETL between operational FHIR data and analytics
Chief Data Officer / VP Data
Databricks, lakehouse, or clinical data platform modernization project is active
Team is building a longitudinal patient record or patient/member 360
AI/ML or analytics work is blocked by inconsistent clinical data
Job posts or RFPs mention clinical data quality, FHIR, governance, Spark, SQL, or ML
Data engineering team maintains many ETL pipelines from EHR/FHIR data
CIO
Enterprise AI or analytics strategy depends on clinical data
Interoperability or EHR modernization is part of the IT agenda
RFP or discovery call mentions FHIR, healthcare data platform, analytics, governance, or API access
Team is trying to reduce ETL, data duplication, or fragmented access controls
CTO
Cloud/data platform or integration architecture modernization is on the roadmap
Organization is evaluating build vs buy for a FHIR/interoperability layer
Need for near-real-time clinical data for apps, analytics, or AI is discussed
Engineering team is spending significant effort on custom integrations or ETL
Security/compliance review includes PHI, audit, access control, and governance requirements
Data Platform Vendors
VP Product / Product Director
Vendor is expanding into healthcare or launching a healthcare data product
Product roadmap includes FHIR, interoperability, clinical data, or payer/provider use cases
Customers ask for Databricks-compatible healthcare data capabilities
Team is deciding whether to build, partner, or embed a FHIR layer
Sales/RFP feedback shows competitive pressure to support healthcare standards
Platform Architect / Solution Architect
Data platform vendor needs a healthcare/FHIR layer for Databricks-based solutions
Customer asks for FHIR-native analytics, SQL/BI/ML access, or SMART on FHIR apps
Existing approach requires custom ETL from EHR/FHIR data into the lakehouse
Solution needs to work with Unity Catalog / access control / governance requirements
Team is evaluating whether to build, embed, or partner for the FHIR layer
CTO
Strategic customer requests healthcare/FHIR support
Company is evaluating partnerships for healthcare data infrastructure
Engineering roadmap includes healthcare compliance, PHI, governance, or FHIR APIs
Team needs healthcare credibility for enterprise provider or payer deals
Build vs buy discussion around FHIR/interoperability layer is active
Health Plans — FHIR for Analytics
VP / Director Data & Analytics (CDO / CDAO)
HEDIS, STARS, risk adjustment, VBC, or member-360 analytics run or will run on Databricks
Team needs claims and clinical data in one analytics environment
ML/AI models are delayed by unstandardized, stale, or incomplete clinical data
RFP or discovery mentions FHIR, clinical data normalization, quality measures, or governance
Data team is adding pipelines to bring EHR/HIE data into the lakehouse
Director Data Platform / Data Engineering
Team is building or modernizing the Databricks/lakehouse ingestion layer
Current architecture syncs EHR, FHIR, claims, or HIE data through custom ETL
External clinical or HIE data is being onboarded
App or analytics use case requires live or near-real-time FHIR reads
Data quality issues appear after flattening or transforming clinical data
VP Value-Based Care / Quality / Value-Based Quality Director
Quality, STARS, HEDIS, or risk-adjustment goals depend on fresher clinical data
Manual chart chase or supplemental data collection is still used
Care gap closure relies on delayed or incomplete EHR/HIE feeds
Risk adjustment accuracy is affected by missing clinical evidence
Team is looking for better data for measure calculation, reporting, or interventions
CTO
Analytics, AI, or app roadmap requires near-real-time clinical data
Organization is modernizing data platform, integration, or API infrastructure
Engineering team is evaluating build vs buy for the FHIR/data layer
Current architecture depends on custom ETL between operational data and Databricks
Security/compliance review includes PHI, audit, access control, and governance requirements
Health Plans — Compliance
VP / Director Interoperability
Preparing for CMS-0057 or 2027 compliance deadlines
Active work on Prior Auth API, Payer-to-Payer, Provider Access, or Patient Access APIs
RFP or vendor evaluation mentions Da Vinci, HL7 FHIR, CARIN, or interoperability APIs
Existing FHIR implementation requires major build-out or remediation
Compliance team asks for auditability, consent, and data exchange controls
VP Utilization Management
UM platform modernization or replacement is underway
Prior auth automation, ePA, or Da Vinci implementation is on the roadmap
Provider abrasion, turnaround time, or denial management is a stated priority
Current process depends on manual clinical review, fax, portals, or duplicate data entry
Team uses GuidingCare, Jiva, Aerial, or similar UM systems and needs integration
Chief Data Officer
Member-360, MDM, or enterprise data governance initiative is active
AI/analytics strategy requires claims and clinical data unification
Clinical data from providers arrives in inconsistent formats or separate pipelines
RFP or discovery mentions FHIR, canonical data model, data quality, or consent
Team is trying to make payer API/compliance data usable for analytics
CTO
CMS compliance projects require changes to payer API or data architecture
Organization is modernizing integration, API, or data platform infrastructure
Engineering team is evaluating build vs buy for FHIR/Da Vinci capabilities
Security/compliance review covers PHI, consent, audit, and access control
Technical partnership or platform decision is needed to meet deadlines
Let's discuss your projects
We're always reachable via Intercom on the site — let us know you're from Databricks and we'll take care of your question.
Data & interoperability core
Aidbox
FHIR server & data platform
Sub-second queries at 16 TB scale
FHIR, HL7v2, C-CDA, X12, SNOMED, LOINC
Innovaccer (54M patients), Sunnybrook, CODA
Interbox
Code-first integration engine
Durable, queue-driven runtime — nothing dropped
HL7v2 modernization, custom workflows to FHIR
Local codes → LOINC, SNOMED, ValueSets
Termbox
Fastest FHIR terminology server
5–30× faster; <100ms p95
1,000+ terminologies; SNOMED indexed <1 min
SNOMED CT, LOINC, RxNorm, ICD-10
MDMbox
FHIR-native MPI & MDM
Match in ms; 5M patients in 20 min
100M+ records; 90% fewer duplicates
Steward UI, auto-merge, safe unmerge + audit
Apps, forms & analytics
Formbox
FHIR SDC form builder
4,000+ ready-to-use encoded templates
SMART on FHIR, PDF→digital, AI-assisted
Bupa, Duodecim (EU MDR IIa), Quebec telemed
Smartbox
ONC-certified FHIR API
ONC-certified; 21st Century Cures Act
FHIR, C-CDA, Bulk Export APIs — §170.315 (g)(10)
Yale New Haven Health, Narus, BestNotes
SDK
Type-safe FHIR SDK
Types generated from FHIR profiles
TypeScript, Python, C#
Tree-shakeable @atomic-ehr/codegen
SQL on FHIR
Interoperable FHIR analytics
ViewDefinition flattens FHIR → tables
Standard SQL-on-FHIR spec
$materialize to Delta Lake / Postgres