EHR Platforms
Integration Challenges
Specialized interoperability engineers are expensive and difficult to hire.
Site-specific EHR configurations require custom integration work each time
Security reviews, BAAs, audits, and regulatory approvals to extend deployment timelines.
Internal teams spend months on integration instead of core product development.
Data entry errors and delays can impact care quality and patient safety.
Average time from first hospital deal to live EMR integration at scale — for companies building without specialist support.
Typical cost of custom EMR integration using HL7 consultants or in-house teams without prior healthcare data experience.
Hospital deals that stall or are lost entirely due to EMR integration delays — before the product even gets evaluated.
Core Capabilities
From HL7 interfaces and FHIR APIs to DICOM imaging workflows and medical device connectivity, DASH delivers scalable healthcare integration and interoperability solutions.
Native bidirectional integration with the EHR systems your hospital customers actually use — ambulatory, acute, and post-acute settings. We embed your product directly into clinical workflows, so it becomes indispensable to care teams.
Read and write data to and from any EHR in real time
Full submission, certification, and SMART on FHIR build
Integrated into clinician views — no separate login required
Scalable across health systems with varied EHR configurations
Map your device outputs to HL7 v2 message workflows and FHIR R4 resource models. We build SMART on FHIR applications and CDS Hooks that surface contextual alerts directly inside the EHR — no clinician context switching required.
ORM, ORU, ADT message types for all major EHR ingestion paths
Observations, Diagnostics, Imaging, and custom profiles
Contextual decision support alerts triggered at point of care
Complete traceability for FDA 21 CFR Part 11 and HIPAA audits
Connect imaging systems, diagnostic devices, PACS, RIS, and EHR platforms through standards-based DICOM and clinical workflow integration. DASH helps ensure images, reports, and diagnostic results flow into the right clinical record quickly and securely — reducing manual routing, delays, and workflow gaps.
Standards-compliant imaging from device to EHR viewer
Imaging systems connected to clinical ordering workflows
Images, video, PDF reports — all formats, all devices
Zero-latency result availability for time-critical decisions
Connect your medical hardware — wearables, bedside devices, surgical instruments, remote monitors — to EHR systems and clinical data infrastructure. We handle firmware, SDK, and cloud bridge architecture.
Wi-Fi, BLE, LTE for wearables and remote monitoring devices
Ethernet, USB, HDMI for bedside and surgical devices
SDK and middleware agents bridging hardware to EHR APIs
Device monitoring, diagnostics, and OTA updates at scale
Design, configure, and manage the middleware layer that normalizes, transforms, and routes device and clinical data across complex EHR environments. DASH works with leading integration engines and custom API gateways to improve reliability, scalability, monitoring, and data flow between systems.
Full Mirth, Redox, Rhapsody setup and channel management
Transform any device output format to EHR-compatible models
Retry logic and downtime handling for mission-critical flows
VPN, IP whitelisting, firewall config for hospital IT environments
Map device output formats to EHR-compatible data models. Handle EDI billing workflows. Migrate historical clinical and financial data with full auditability — including device replacement scenarios.
Device output → EHR-compatible data models across all major schemas
X12 837, 835, 270/271 for billing-connected device workflows
Auditable migration for device replacement and platform upgrades
Cleansing, validation, and deduplication pipelines
Enable seamless interoperability across EHRs, imaging systems, devices, and clinical workflows.
By Specialty
Integration Architecture
Platform Ecosystem
We integrate across leading EHR platforms and specialty systems—adapting to each vendor’s data models, interfaces, and integration constraints.
Epic — enterprise-scale EHR with complex interoperability workflows
Oracle Health — widely adopted system with diverse interface requirements
GE Healthcare — imaging and clinical systems with deep workflow dependencies
Philips — device and imaging ecosystems requiring tight data synchronization
And other leading EHRs and healthcare platforms
Our Approach
We implement EHR integrations with an architecture-first approach—focused on data integrity, reliability, and scalability.
Assess source/target systems, data models, and interface specs (HL7, FHIR, DICOM)
Define interface topology, data flows (event-driven/API), transformations, and error handling
Build HL7 interfaces, FHIR APIs, DICOM connectors, SMART apps, device bridges, and middleware pipelines using engines like Mirth Connect, Cloverleaf, and Rhapsody
Execute field-level mapping, message validation, and workflow testing across edge cases
Deploy with logging, message tracking, alerting, and performance tuning
Use Cases
Align imaging orders, study status, and reports for real-time clinical access
Capture and normalize high-frequency device data into structured EHR records
Sync encounters, procedures, and codes to reduce billing gaps and denials
Maintain a consistent patient record across EHRs and specialty systems
Ensure seamless flow of orders (ORM) and results (ORU) across systems
Bridge HL7-based systems with FHIR/API-driven applications
Client Success
Automated Medical Data Processing for Newborn Care
Manual neonatal data entry across NICU devices and EHR systems created compliance risks, transcription errors, and siloed patient records that delayed critical clinical decisions.
Automated EMR integration with real-time data transmission. Configurable data transformation (JPG, PDF, TIFF). Intuitive HL7 configuration system. FHIR compliant interoperability with EHR validation.
for data transfer
error-free automation
faster data delivery
Cardiac Device Company — ECG Reporting in Epic
ECG data siloed outside Epic. Cardiologists faced 30–45 minute delays per case. No AI-assisted anomaly detection for real-time triage in the clinical workflow.
FHIR-based data orchestration layer pushing ECG data into Epic. AI arrhythmia classification (AUC >92%). CDS Hooks triggering real-time alerts. Zero-latency data availability in 3 seconds.
Faster diagnosis
Data accuracy
Workflow efficiency
AI-Powered Insulin Dosing Platform — Epic Integration
Low adoption due to separate login outside Epic. No real-time glucose integration feeding the AI model. Need for explainable AI to meet compliance and build clinician trust.
AI dosing engine embedded in Epic via App Orchard using SMART on FHIR microservices. Real-time glucose telemetry with sub-2-second latency. Explainable AI framework with audit trails for regulatory traceability.
More clinical adoption
Fewer dosing errors
Epic Showroom listed
Book a free 30-minute integration strategy call. We’ll map your first EMR connection, assess your timeline, and give you an honest scope — no sales pressure.
Why DASH
Not just integration — end-to-end
partnership from day one
EHR integration connects healthcare systems to enable seamless data exchange, improving workflows, and patient care.
HL7 is a traditional messaging standard, while FHIR is a modern, API-based framework designed for real-time interoperability.
Timelines vary based on system complexity, but most integrations range from a few weeks to several months.
EHRs, PACS, RIS, medical devices, billing systems, and third-party healthcare applications can all be integrated.