EHR/EMR Integration Services
We connect your healthcare applications with electronic health record systems using modern interoperability standards. Whether you need to pull patient data from Epic, push lab results to Cerner, or build a unified patient view across multiple EHR systems, our integration engineers handle the complexity of HL7 FHIR, HL7 v2, CDA, and proprietary APIs.
Why This Matters
Healthcare data is trapped in silos. FHIR-based integration unlocks patient data across systems, enabling better care coordination and reducing duplicate tests by 30%+.
What You Get
Capabilities
FHIR Integration Hub
Centralized integration layer that normalizes data from multiple EHR vendors into a unified FHIR-compliant format for your applications.
Data Mapping Engine
Automated mapping between different coding systems (ICD-10, SNOMED CT, LOINC, CPT) with conflict resolution and manual override workflows.
SMART on FHIR Apps
Build EHR-embedded applications that launch directly within Epic, Cerner, or any SMART-enabled system with single sign-on and contextual patient data.
Real-World Applications
Use Cases
Technology Stack
Explore More
Related Services
HIPAA-Compliant Platform Development
Healthcare platforms built from the ground up with HIPAA, NABH, and DHA compliance baked in.
Learn MoreTelehealth & Telemedicine Platforms
Video consultation, remote monitoring, e-prescriptions, and virtual care platforms for providers.
Learn MoreMedical Device Software (SaMD)
FDA and CE-compliant software as a medical device — from clinical algorithms to regulatory submission.
Learn MoreCommon Questions
Frequently Asked Questions
How do you ensure HIPAA compliance in healthcare apps?
Masarrati implements end-to-end encryption, role-based access controls, audit logging, BAA agreements with cloud providers, secure data storage, and regular security assessments aligned with HIPAA technical safeguards.
Can you integrate with existing EHR/EMR systems?
Yes. Masarrati integrates with Epic, Cerner, Allscripts, and other EHR systems using HL7 FHIR, SMART on FHIR, and CDA standards. We build middleware that bridges legacy health systems with modern applications.
What telehealth features can you build?
Video consultations, appointment scheduling, prescription management, remote monitoring dashboards, secure messaging, e-prescribing, and integration with wearable devices — all HIPAA compliant.
How do you handle medical data security?
Through encryption at rest and in transit, PHI access controls, de-identification for analytics, secure cloud hosting (AWS GovCloud/Azure Healthcare), penetration testing, and SOC 2 compliance processes.
Can AI be used in healthcare applications?
Absolutely. Masarrati builds AI-powered diagnostic support, clinical decision systems, medical imaging analysis, predictive patient risk models, and NLP for clinical documentation — all with human-in-the-loop validation.
Real Results
Related Case Studies
MedInsight AI
An intelligent medical imaging analysis platform that assists radiologists with AI-driven anomaly detection, reducing diagnostic turnaround times by 65%.
HealthcareMedConnect Patient
A patient-facing healthcare app we engineered for our client — enabling appointment booking, teleconsultation, medical records, and prescription management in one seamless mobile experience.
HealthcareMedConnect Doctor
A comprehensive doctor portal we built for our client — managing appointments, teleconsultations, digital prescriptions, patient records, billing, and practice analytics from one dashboard.
From Our Blog
Related Insights
AI Personal Assistants in 2026
Exploring how AI personal assistants have evolved and what to expect in 2026 with advanced reasoning and multimodal capabilities.
Artificial IntelligenceAI Agents: From Automation Scripts to Autonomous Digital Workers
How AI agents are evolving from simple automation scripts into sophisticated autonomous digital workers capable of complex reasoning.
Artificial IntelligenceRAG Pipelines in Production: Lessons from Deploying Enterprise AI
Real-world lessons from deploying Retrieval-Augmented Generation systems in production — from data quality to latency optimization.