Healthcare Interoperability Solutions
Peerbits helps healthcare and HealthTech companies connect EHRs, applications, and healthcare data using FHIR, HL7, APIs, SMART on FHIR, and modern interoperability architecture — engineered into the product, not added on after launch.
The Problem
Whether you're a hospital network or a HealthTech product team, the same underlying problem shows up: systems that were never designed to talk to each other, and integrations that get harder to maintain every year.
Patient and clinical data sits across EHRs, labs, imaging systems, and payers — never available in one place at the right time.
Every EHR vendor exposes data differently, which turns each new connection into a custom engineering problem.
Decades-old HL7 v2 interfaces remain embedded in lab, ADT, and pharmacy workflows, and they're brittle to change.
The same clinical concept is often represented differently across systems, which breaks downstream logic and reporting.
Custom, one-off connections between systems multiply maintenance cost and make every new integration slower than the last.
Fax machines, PDF attachments, and manual re-entry introduce delay, transcription error, and compliance risk.
Definition
Healthcare interoperability is the ability of different health IT systems, devices, and applications to access, exchange, and cooperatively use clinical and administrative data — in a structured, real-time format, rather than as PDFs, faxes, or manual re-entry.
Peerbits provides healthcare interoperability engineering services covering FHIR, HL7, EHR integration, SMART on FHIR, healthcare APIs, and healthcare data mapping — as a foundation for both healthcare organizations connecting existing systems and HealthTech companies building interoperability into a new product.
Capabilities
End-to-end interoperability engineering, from FHIR API development to deep EHR integrations. Each capability links to a dedicated page with deeper technical coverage.
Modern, REST-based healthcare data exchange.
Still deeply embedded across healthcare environments.
Connecting products to the systems clinicians already use.
Scoped, standards-based authentication for clinical data access.
Beyond the EHR — the broader healthcare API surface.
Making data from any source usable in a standardized form.
Architecture
A layered integration architecture that normalizes data from any source and delivers it to any consuming application.
HEALTHCARE DATA SOURCES
EHR Systems
Epic · Oracle Health
Labs & Diagnostics
Results · Orders
Payers & Claims
Eligibility · Auth
IoT & Devices
RPM · Wearables
Pharmacy
Rx APIs
INTEROPERABILITY LAYER
FHIR R4 · HL7 v2/v3 · C-CDA · SMART on FHIR · Terminology mapping · MPI
INTEGRATION & ORCHESTRATION
Routing · Transformation · Event streaming · Error handling & retry
SECURITY & API LAYER
OAuth 2.0 · SMART Auth · Rate limiting · Audit logging · Encryption
CONSUMING APPLICATIONS
Patient Portal
Scheduling
Clinical Apps
CDS · Decision support
Mobile Health
iOS · Android
Payer Systems
Claims workflows
AI & Analytics
Predictive · NLP
Use Cases
Real integration problems, engineered with production-grade architecture.
Connect multiple hospitals and clinics across a health system into a unified patient record, so clinicians at any location can access complete longitudinal history.
Connect a mobile or web health application directly with an EHR using SMART on FHIR — read patient data, write back outcomes, and trigger CDS Hooks through standardized APIs.
Build a FHIR-facing API layer over legacy HL7 v2 systems, so modern applications can consume decades-old lab, ADT, and pharmacy data through standardized APIs.
Connect prior authorization, eligibility verification, and claims workflows between providers and payers using healthcare APIs and Da Vinci implementation guides.
Ingest continuous streams from wearables and home monitoring devices, normalize the readings, and push clinically relevant data into the patient record.
Engineer a single integration layer that can connect a healthcare product to multiple EHR vendors, rather than building a one-off connector for each.
Product Engineering Bridge
Interoperability works best as part of the product architecture from the start — not as an integration added after the product is already built.
When interoperability is architected in from day one, EHR connectivity, FHIR APIs, and data mapping become part of how the product is designed to work — which is easier to maintain and easier to extend than integrations bolted on afterward.
Explore Healthcare Product EngineeringTHIS APPLIES DIRECTLY TO
EHR connectivity inside a new healthcare SaaS product
FHIR APIs as a core product capability
HL7 interfaces for lab or ADT-dependent workflows
SMART on FHIR applications embedded in clinical systems
Payer/provider integrations built into the product
Healthcare device integrations
Data + AI
AI healthcare products depend on accessible, structured, and appropriately governed data. Interoperability is a necessary foundation for that — but not a complete solution on its own.
This is the same engineering discipline behind Peerbits' AI Medical Scribe and AI Medical Coding products, both of which depend on clean, structured healthcare data flowing through the underlying integration layer.
Explore Healthcare AI EngineeringGETTING DATA AI-READY TAKES
Data quality and consistent terminology mapping
Interoperability across the relevant source systems
Architecture that keeps data usable at scale
Governance around access and use
Workflow context so the data means what the AI assumes it means
Modernization
For organizations running HL7-heavy systems, point-to-point integrations, brittle interfaces, or duplicated integration logic across proprietary formats. The goal is to protect existing clinical workflow knowledge while replacing brittle connections with a maintainable interoperability layer.
Assess
Map
Modernize
Integrate
Test
Monitor
Security & Compliance
Security, interoperability standards, and regulatory considerations are related but distinct — and we don't collapse them into a single marketing claim.
Who We Help
Need EHR and API interoperability engineered inside their product, not added as an afterthought.
Need to connect applications with clinical systems and healthcare data sources.
Need to connect fragmented systems across a hospital network, clinic group, or care team.
Need reliable healthcare data connectivity as the foundation for AI workflows.
Need healthcare interoperability expertise while building a new product from the ground up.
Engineering Process
A defined path from requirements to a supported, production-grade integration.
STEP 1
Understand the current systems, workflows, and integration requirements.
STEP 2
Define the target interoperability architecture and where FHIR, HL7, and APIs fit.
STEP 3
Define data models and transformations between source systems and standardized formats.
STEP 4
Build the APIs, interfaces, and connectors that implement the architecture.
STEP 5
Test data accuracy, workflow behavior, and interoperability conformance.
STEP 6
Release the integration into the target environment with a rollout plan.
STEP 7
Maintain, observe, and extend the integration as systems and requirements change.
Standards & Technology
Grouped by role, not listed as a technology wall — only standards and platforms Peerbits has genuine engineering experience with.
Real integration outcomes — EHR connections, data exchange, and interoperability projects.
Healthtech ,
Configure studies and eCRFs, manage participants and visits, capture structured clinical data, and maintain visibility and traceability from one unified research platform.
Healthtech ,
A working AI prior authorization use case engineered by Peerbits — AI-assisted clinical evidence gathering, payer rule matching, gap identification, documentation drafting, and human review workflows to accelerate prior authorizations while keeping c
Healthtech ,
A working AI clinical documentation platform engineered by Peerbits — demonstrating ambient audio capture, medical speech-to-text, structured SOAP generation, clinical validation flags, ICD-10/CPT coding suggestions, physician review, and FHIR/EHR wr
Get Started
Talk to our healthcare integration engineers. We'll assess your current stack, identify integration gaps, and propose a standards-based approach — with a clear scope for what's involved.
Years of experience
In-house talent
Projects delivered
Client satisfaction rate
Healthcare interoperability is the ability of different health IT systems, devices, and applications to access, exchange, and cooperatively use clinical and administrative data — in a structured, real-time format, rather than as PDFs, faxes, or manual re-entry.
FHIR (Fast Healthcare Interoperability Resources) is the modern REST API standard for healthcare data exchange, using JSON or XML structured resources. It's significantly easier to build against than legacy HL7 v2 messaging, and it's the standard most current EHR vendors expose FHIR R4 APIs against.
Integration timelines depend on the systems involved, data scope, workflows, authentication requirements, testing, and deployment complexity. There is no fixed universal timeline — Peerbits scopes each integration individually based on these factors.
HL7 v2 is a pipe-delimited messaging format still widely used in labs, ADT feeds, and pharmacy systems. FHIR is a modern REST API standard using structured JSON or XML resources. Many healthcare environments run both, and it's common to build a FHIR-facing API layer over an HL7 v2 system so modern applications can consume legacy data through standardized APIs.
Peerbits engineers EHR connectivity using each vendor's exposed FHIR R4 APIs and SMART on FHIR authentication patterns. Exact scope and feasibility depend on the specific EHR, the data being exchanged, and the vendor's access requirements, which Peerbits assesses per engagement.
Yes. Mapping and transforming data between source formats — HL7 v2, proprietary EHR formats, X12 — and standardized FHIR resources is core to Peerbits' interoperability engineering work.
Interoperability is a necessary foundation for AI-ready healthcare data, but it isn't sufficient on its own — data quality, architecture, governance, and workflow context matter just as much. Peerbits addresses all of these together rather than treating interoperability as a complete solution to AI data readiness.
Have more questions?
Ask our expertsTechnical guides on FHIR, HL7, EHR integration, and healthcare data exchange.
