How do you ensure HIPAA compliance in the software you build?

We implement all required HIPAA technical safeguards by default: encryption at rest and in transit (AES-256/TLS 1.3), role-based access controls, automatic session timeouts, comprehensive audit logging, and documented data-use agreements. We also support your BAA (Business Associate Agreement) obligations.

Can your solutions integrate with Epic or Cerner?

Yes. We have live integrations with Epic FHIR R4 APIs, Cerner Millennium, and many other EHR platforms using HL7 FHIR, HL7 v2, and CCDA. We can also build custom interface engines where standard APIs are not available.

What is your approach to healthcare AI model validation?

Every AI model we build for clinical use goes through a structured validation protocol: retrospective testing on held-out datasets, prospective shadow-mode evaluation in a clinical environment, and ongoing post-deployment monitoring for model drift — aligned with FDA SaMD pre-market guidance.

How do you handle patient data in development and testing environments?

We use synthetic data generation and de-identification pipelines to ensure no real PHI is ever used in non-production environments. All engineers working on healthcare projects complete HIPAA awareness training and sign individual confidentiality agreements.

Can you help us achieve meaningful use or other certification requirements?

Yes. We have supported clients through ONC Health IT certification, CEHRT compliance for EHR products, and CMS interoperability rule implementation. We embed certification milestones into the development roadmap from the outset.

Healthcare Technology

Healthcare Software Development Company

Digitise patient care with HIPAA-compliant AI-powered health platforms.

Start Your Project

150+

Healthcare Products Built

10M+

Patients Served

HIPAA/HL7

Certified Compliance

30+

Countries Deployed

Solutions

Industry Solutions We Build

EHR / EMR Systems

Interoperable electronic health record platforms with FHIR-compliant data models, clinical workflows, and decision-support alerts.

Telemedicine Platform

HIPAA-compliant video consultation, asynchronous messaging, e-prescription, and remote monitoring in a single patient-facing app.

Hospital Management System

Integrated solutions covering patient registration, bed management, theatre scheduling, billing, and staff rostering.

Patient Engagement App

Mobile applications for appointment booking, health tracking, care-plan adherence, and two-way secure messaging with providers.

Medical Billing Software

Automated claims generation, eligibility verification, ERA reconciliation, and denial management to maximise revenue capture.

Clinical Decision Support System

Rule-based and ML-driven alerts embedded in clinical workflows to surface drug interactions, diagnostic cues, and care-gap reminders.

Remote Patient Monitoring

IoT-connected wearable and home-device platforms that stream biometric data to clinicians with real-time alerting on abnormal readings.

Healthcare Data Analytics

Population-health dashboards, outcome benchmarking, and predictive readmission models that help health systems allocate resources efficiently.

Services

Development Services We Offer

Custom Healthcare Software

Bespoke clinical and operational systems built from scratch or extended from existing platforms, designed around your specific care workflows.

Telemedicine Development

Fully branded virtual-care platforms with real-time video, asynchronous consult, scheduling, and integrated billing.

HIPAA-Compliant App Development

Mobile and web apps architected from day one for HIPAA technical safeguards including audit controls, access management, and transmission security.

EHR/EMR Integration

HL7 FHIR and legacy interface (HL7 v2, CCDA) integration services that connect your product to Epic, Cerner, Meditech, and dozens of other EHR platforms.

Healthcare AI & ML

Diagnostic imaging AI, NLP for clinical documentation, predictive risk scoring, and clinical trial matching models built on validated medical datasets.

Medical IoT Solutions

End-to-end platforms that connect wearables, implants, and smart devices to the cloud with real-time telemetry, alerting, and EHR write-back.

Ready to Build for HealthTech?

Our experts are ready to design and deliver the right solution for your healthtech business — fast, secure, and built to scale.

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Innovation

Emerging Technologies in HealthTech

⚡AI Diagnostics

Computer vision models for radiology, pathology, and dermatology that assist clinicians in detecting conditions earlier and with greater accuracy.

⚡Wearable Health Monitoring

Continuous biometric streaming from consumer and medical-grade wearables, enabling proactive chronic-disease management at scale.

⚡Genomics & Precision Medicine

Genomic data processing pipelines and pharmacogenomics decision tools that enable personalised treatment recommendations.

⚡NLP for Clinical Notes

Ambient AI scribes and structured data extraction that convert free-text clinical notes into coded, searchable FHIR resources automatically.

⚡Predictive Health Analytics

Machine learning models that identify high-risk patients for readmission, sepsis, or deterioration before clinical signs become critical.

⚡Virtual Care Platforms

Omnichannel care delivery combining synchronous video, async messaging, AI triage chatbots, and remote monitoring in one cohesive experience.

Use Cases

How We Help HealthTech Businesses

Launching a Telemedicine Service

Build HIPAA-compliant video, chat, and e-prescription in a single patient-facing product
Integrate scheduling with existing EMR for seamless appointment and note management
Implement consent management and secure health record sharing between providers
Scale to thousands of concurrent virtual visits with WebRTC infrastructure on AWS

Digitising Clinical Documentation

Deploy ambient AI to transcribe and structure provider-patient conversations into draft notes
Auto-code diagnoses and procedures using NLP against ICD-10 and CPT code sets
Reduce documentation burden by 50%, freeing clinicians to spend more time with patients
Maintain full audit trail for compliance and medical-legal purposes

Building a Remote Monitoring Programme

Connect FDA-cleared devices (BP cuffs, glucometers, pulse oximeters) to a cloud hub
Generate real-time alerts when readings breach individualised thresholds
Write device readings directly to patient EHR records via FHIR API
Provide care-team dashboards with population-level trend visualisations

Modernising Medical Billing

Automate eligibility verification and pre-authorisation at point of scheduling
Generate clean claims with real-time scrubbing to reduce initial denial rate
Streamline ERA posting and exception-based denial management workflows
Provide CFO-level revenue cycle analytics with payer performance benchmarking

AI-Assisted Radiology Reporting

Integrate FDA-cleared AI models for detecting anomalies in CT, MRI, and X-ray studies
Prioritise worklist by AI confidence score so radiologists review critical findings first
Generate draft structured reports that radiologists edit and sign rather than write from scratch
Track AI model performance over time against ground-truth read outcomes

Population Health Management

Aggregate EHR, claims, and social-determinants data into a unified patient registry
Stratify risk cohorts using predictive ML models for diabetes, heart disease, and mental health
Automate outreach campaigns with personalised care-gap closure tasks for care managers
Measure quality metrics (HEDIS, STAR ratings) in real time against payer benchmarks

Why Bluejay

Why Choose Bluejay for HealthTech?

Certified HIPAA & HL7 Expertise

Our healthcare engineers hold HIPAA implementation certifications and have built FHIR-compliant integrations with every major EHR — Epic, Cerner, Meditech, and athenahealth.

Clinical Workflow Understanding

We embed clinical advisors in product discovery to ensure software is designed around real care pathways, reducing physician burden rather than adding to it.

AI Built for Regulated Environments

Our healthcare AI models are trained, validated, and monitored under a rigorous MLOps framework that satisfies FDA SaMD guidance and supports CE-marking submissions.

Scalable, Interoperable Architecture

We build on FHIR-native data models and open integration standards so your platform connects to any payer, provider, or device without proprietary lock-in.

Tech Stack