Healthcare
We build secure, compliant healthcare solutions that improve patient outcomes and streamline clinical workflows. From telemedicine platforms to EHR integrations, our healthcare technology expertise helps providers deliver better care while maintaining strict regulatory compliance.
What does Masarrati build for healthcare?
Masarrati builds healthcare software for providers, digital health companies and medical device firms: telemedicine platforms, patient portals, clinical workflow tools, HL7 and FHIR integration layers connecting EHR systems, and analytics on clinical data. Systems are engineered with encryption, role-based access and audit logging under an ISO 27001 certified process, then handed over for your team to operate.
Why This Matters
Healthcare software fails on integration and evidence rather than on features. Hospital systems speak older HL7 dialects that rarely match the specification, data cannot leave the jurisdiction it was collected in, and any change to a clinical workflow has to be justified to a governance committee. Building here means designing for audit, consent and interoperability first, because retrofitting them into a live clinical system is rarely permitted.
Standards We Build To
- HIPAA privacy and security rules in the United States
- HL7 v2 and FHIR R4 interoperability standards
- IEC 62304 medical device software lifecycle processes
- GDPR and equivalent regional health data protection law
- DICOM for medical imaging exchange
- ISO/IEC 27001 information security management
What We Offer
Capabilities
HL7 and FHIR Integration
Interface engines that map HL7 v2 messages and FHIR R4 resources between hospital information systems, laboratory analysers and third-party applications, with message replay and reconciliation.
Telemedicine Platforms
Encrypted video consultation, scheduling, e-prescribing and clinical note capture built on WebRTC, with waiting-room queues, consent capture and session records written to the patient chart.
Consent and Audit Trails
Immutable logging of every record view, amendment and disclosure, with granular patient consent flags that govern which clinician, department or external party can read each data element.
Clinical Decision Support
Rules engines and machine learning models that surface risk scores, drug interaction alerts and care-pathway prompts inside the clinician's workflow, with the reasoning shown alongside each recommendation.
Medical Device Connectivity
Ingestion pipelines for monitors, wearables and diagnostic equipment over MQTT, DICOM or vendor SDKs, buffering readings locally so a network drop does not lose measurements.
De-identified Data Pipelines
Analytics layers that pseudonymise or de-identify patient records before they reach reporting and model training, keeping research and operational dashboards separate from identifiable clinical stores.
Where This Gets Used
- Multi-site hospital group: a clinician portal unifying patient records held in three separate departmental systems
- Digital health startup: a remote monitoring platform ingesting readings from home devices with clinician escalation rules
- Diagnostic laboratory: an order and results workflow exchanging HL7 v2 messages with referring clinic systems
- Insurer and provider network: a claims and pre-authorisation workflow with structured clinical coding and audit trails
- Pharmacy chain: an e-prescription fulfilment system with stock checks, substitution rules and dispensing records
How We Deliver
Clinical Discovery
We shadow the clinical and administrative workflow, then agree scope with the people who will use it
Compliance Mapping
Applicable regulations are translated into concrete controls: access rules, retention periods, consent flags and audit requirements
Integration First
Interfaces to EHR, laboratory and device systems are proven early, since they carry most of the delivery risk
Validation and Handover
User acceptance testing with clinicians, documented traceability, then transfer of code, runbooks and evidence to your team
Related Services
How We Help
Strategy Consulting
Tailored IT strategy aligned with your business goals for maximum digital impact.
- Business goal alignment with technology roadmap
- Technology stack assessment and recommendation
- Digital transformation planning
Custom Software Development
Bespoke software solutions engineered to solve your unique business challenges.
- Full-cycle software development
- Requirements analysis and system design
- Agile development methodology
Dedicated Development Team
Extend your team with skilled developers who integrate seamlessly into your workflow.
- Pre-vetted senior developers
- Flexible team scaling
- Seamless integration with your workflow
Digital Transformation
Modernize your business with cutting-edge digital solutions and processes.
- Legacy system modernization
- Cloud migration strategy
- Process automation with AI/ML
Project Rescue
Recover failing projects with expert intervention and strategic course correction.
- Comprehensive project audit
- Root cause analysis
- Code quality assessment and refactoring
Maintenance & Support
Keep your software running smoothly with proactive maintenance and 24/7 support.
- 24/7 technical support
- Proactive monitoring and alerting
- Security patching and updates
Common Questions
Frequently Asked Questions
What are the key compliance requirements for healthcare software?
HIPAA in the US, GDPR in Europe, and regional health data regulations. Requirements include data encryption, access controls, audit trails, breach notification procedures, and business associate agreements with all vendors.
How is AI being used in healthcare today?
AI powers medical imaging diagnosis, drug discovery, clinical decision support, patient risk prediction, administrative automation, and personalized treatment plans. Masarrati builds these systems with clinical validation workflows and audit trails, and works to the regulatory pathway your device or software classification requires.
What is interoperability in healthcare IT?
The ability of different health systems to exchange and use patient data seamlessly. Standards like HL7 FHIR enable this. Masarrati builds interoperable systems that connect hospitals, clinics, labs, and pharmacies.
How long does it take to build a telehealth platform?
An MVP with video, scheduling, and basic records takes 10-14 weeks. A full platform with EHR integration, prescriptions, and billing typically takes 5-8 months. Timelines depend on how many source systems have to be integrated and how much of the clinical workflow is in scope.
What security measures are essential for health data?
End-to-end encryption, zero-trust architecture, role-based access, multi-factor authentication, regular penetration testing, SOC 2 compliance, and incident response plans. Masarrati builds security into every layer.
Can you integrate with our existing EHR without vendor cooperation?
In most cases, yes. Where the vendor exposes FHIR or HL7 interfaces we build against those directly. Where it does not, we work through supported export files, database views or an interface engine sitting between the systems, and agree the arrangement with the vendor and your governance team first. The integration layer is documented and tested against recorded messages, so behaviour is predictable before it touches live records.
Who owns the patient data and the source code?
You do. Clinical data stays in your infrastructure or a cloud tenancy registered to your organisation, and we work under a data processing agreement for the duration of the build only. Source code sits in your repositories from the first commit. At handover you receive architecture documentation, runbooks, test suites and the compliance evidence pack, so your team or another supplier can take the system forward.
Does our software need to be regulated as a medical device?
It depends on what the software claims to do. Administrative, scheduling and record-keeping tools generally sit outside device regulation, while software that diagnoses, screens or drives treatment decisions can fall within it under EU MDR or FDA classification. Where that applies, IEC 62304 governs the development lifecycle and the documentation burden rises considerably. We assess the intended purpose with your regulatory adviser before scoping, because the answer changes the engineering process.
How do you handle patient data residency across multiple countries?
By separating the deployment rather than the codebase. Each region runs its own database and storage in the jurisdiction the data was collected in, with a shared application build deployed per region and configuration controlling retention, consent wording and lawful basis. Cross-border reporting uses aggregated or pseudonymised extracts rather than raw records. Where a regulator requires local hosting, the platform is deployed into a cloud region or on-premise environment inside that country.
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