AWS Healthcare Solutions
AWS credentials:
Advanced Tier Services Partner
Intellias is an AWS Advanced Tier Services Partner with AWS AI Services, Migration Services, and Data & Analytics Services Competencies. Additional qualifications include AWS Public Sector participation and service-delivery credentials for AWS Lambda and Amazon DynamoDB.
Move AI from pilots into governed production; unify clinical, patient, operational and commercial data; GenAI/RAG; analytics; interoperability.
Patient applications, remote monitoring, connected medical devices, care-management platforms and personalized experiences.
Modernize legacy healthcare platforms, applications and data estates while improving scalability, resilience, and operating costs.
Architect for HIPAA, FDA/GxP and healthcare security requirements while strengthening disaster recovery and business continuity.
AI Services Competency
Advanced Tier Services
AWS Public Sector Partner
Travel & Hospitality Competency
APN Immersion Days
Migration Services Competency
Dynamo DB Delivery Partner
AWS Lambda Delivery
AWS Retail Services Competency
AWS Retail Services Competency
Why healthcare platforms need a stronger foundation:
Challenges we solve
Fragmented healthcare data
Information spread across EHRs, claims systems, laboratories, imaging platforms, and medical devices limits analytics and production AI.
Data access that doesn’t fit clinical workflows
Teams need governed access and integrations that support how clinicians work.
Gaps in regulatory evidence
Verification and traceability left until late in development create unresolved engineering work
Legacy platforms that remain difficult to operate
Cloud hosting alone doesn’t address unreliable integrations or release processes.
Three pillars for production-ready healthcare transformation
Healthcare organizations need more than technology pilots. They need secure, scalable foundations that turn data and AI into real-world outcomes while meeting the demands of a highly regulated industry.
Modernize the foundation
Build a secure, interoperable foundation for healthcare innovation. Modernize legacy applications, infrastructure, integrations, and data platforms on AWS. Connect fragmented clinical, claims, laboratory, imaging, device, and operational data to create a resilient, interoperable foundation for analytics, automation, and AI.
Cloud modernization · Data platforms · Interoperability · Application modernization · Integration · Security
Operationalize data and AI
Move from AI pilots to governed, scalable production. Turn healthcare data into actionable intelligence and move AI beyond experimentation. Build governed data and AI platforms that support analytics, automation, and responsible AI with the security, governance, and operational controls healthcare organizations require.
Data & analytics · AI/ML · Responsible AI · Data governance · Automation · MLOps
Build for healthcare
Engineer digital health solutions with safety, security, and compliance built in. Develop connected healthcare products and experiences designed for the realities of the industry. From medical-device software and firmware to remote monitoring, digital therapeutics, and patient-facing applications, build for traceability, security, regulatory requirements, and patient trust from day one.
Build an AI-ready healthcare data foundation on AWS
Connect fragmented information and give AI use cases a responsible path to production. We build healthcare data platforms that bring clinical and operational information together, with governance and access controls designed around how the data will be used.
- Unified data platforms spanning clinical, claims, laboratory, imaging, device, consumer, and operational systems
- FHIR, HL7, DICOM, CDA, health information exchange, API, and middleware integrations
- AWS data lakes and warehouses, real-time pipelines, and healthcare data products
- Data-quality and lineage controls, metadata management, privacy, and access governance
- Clinical and operational analytics, self-service intelligence, and decision support
- AI and generative AI systems with monitoring, explainability, human oversight, and MLOps
Typical outputs include integrated data platforms and governed pipelines, alongside analytics and AI implementations. The scope follows the source systems and the workflows the platform needs to support.
Clinical intelligence: support medical imaging, early disease detection, risk assessment, decision support, and personalized care with governed, explainable data products.
Operational intelligence: improve referral management, claims operations, capacity planning, workflow automation, and revenue-cycle visibility.
Patient and provider insight: connect patient, provider, product, and engagement signals without multiplying manual work.
Responsible production AI: prioritize a small number of high-impact use cases and integrate them into existing workflows with clear ownership and monitoring.
For an enterprise payer and provider, Intellias created a modern data platform combining EHR/EMR, practice-management, process-management, claims, and consumer platforms. The automated foundation prepared governed healthcare data for AI/ML and advanced analytics.
Engineer regulated healthcare applications and medical devices on AWS
Build connected products with security and regulatory evidence included in development. Intellias supports medical-device software and firmware. We build healthcare applications that connect patients and clinicians with the information they need.
- Medical-device firmware and software, including Software as a Medical Device (SaMD)
- Digital therapeutics and connected-care ecosystems
- Internet of Medical Things (IoMT), device-to-cloud integration, edge processing, and secure device management
- Remote patient monitoring, telehealth, and home-health platforms
- Mobile and web applications for patients, caregivers, and clinicians
Product and architecture: product discovery, clinical and user experience, solution architecture, embedded engineering, cloud integration, and scalable platform design.
Quality and evidence: requirements management, verification, validation, test automation, traceability, quality engineering, and regulatory documentation.
Security and operations: secure-by-design architecture, access controls, vulnerability testing, DevSecOps, observability, incident processes, and managed operations.
Healthcare compliance experience: delivery experience in HIPAA, FDA-regulated software lifecycle, HITRUST, CLIA, SOC 2, ISO 27001, and ISO 9001 environments, aligned to each engagement’s requirements.
A global medical-device company needed proprietary firmware and regulatory-ready evidence for a pulsed field ablation system. Intellias provided firmware leadership, requirements and verification expertise, documentation, test automation, and DevOps support. The product received FDA clearance.
Modernize healthcare platforms with AWS cloud
Modernization needs to address the platform around an application, including integrations and release processes. We help healthcare organizations assess their existing technology and move toward AWS platforms with clearer operational control.
- Patient and practitioner portals, scheduling, referrals, telehealth, and care coordination
- Claims and payments, healthcare benefits, revenue-cycle processes, and member experiences
- EHR/EMR integrations, health information exchange, APIs, and workflow orchestration
- Enterprise data and analytics platforms, ERP integrations, and compliance systems
- Regional and national digital healthcare ecosystems
Assess and plan: review cloud readiness, architecture, infrastructure, security, and cost. Define a prioritized modernization roadmap.
Migrate and re-architect: support AWS migration and database modernization, including monolith modernization, microservices, containers, Kubernetes, and serverless architecture.
Automate delivery: introduce CI/CD and infrastructure as code, with test and release automation, observability, and recovery capabilities.
Operate with control: address performance and reliability, vulnerability management, patching, cost optimization, and managed cloud operations.
5× faster referral processing
Intellias helped deliver and validate an e-referral and e-request platform that replaced slow, manual, paper-intensive processes. Referral processing became five times faster. The platform launched across more than 35 hospitals in Canada and later expanded to the US and Australia.
Nationwide digital healthcare ecosystem
Intellias delivered seven connected products spanning patient access, practitioner workflows, maternity care, medical screening, hospital auditing, and organizational self-assessment—supporting national-scale digitization and replacing fragmented, paper-based processes.
FAQ:
AWS for healthcare
AWS for healthcare refers to cloud, data, and AI services used by healthcare and life sciences organizations. The services include AWS HealthLake, AWS HealthImaging, AWS HealthScribe, and AWS HealthOmics. Intellias provides healthcare engineering and AWS platform work; the specific services used must be confirmed for each engagement.
AWS offers a Business Associate Addendum and HIPAA-eligible services. A healthcare workload must also be designed and operated to meet its obligations. Compliance depends on the agreement, service selection, configuration, and operating controls. AWS infrastructure alone does not establish compliance for the applications and data running on it.
The current AWS HIPAA Eligible Services Reference is the source for service eligibility. Check it against the workload and the applicable BAA before processing protected health information.
An AWS healthcare partner helps organizations design and build healthcare workloads on AWS. Intellias supports healthcare data integration and AI, regulated product engineering, and cloud modernization. Work can include an assessment and roadmap, implementation, and operational support, with the scope defined around the systems and requirements of the engagement.
Intellias supports FHIR integration and healthcare data platform engineering. AWS HealthLake appears in the proposed service mapping for this page, but the supplied draft does not establish delivery experience with it.
Intellias builds healthcare data foundations for AI, regulated connected products, and modern cloud platforms. The scope includes payer and provider systems, medical-device software, and digital health applications. AWS services are selected for the engagement; the healthcare engineering case studies on this page are not all confirmed AWS implementations.
We prepare and govern data, design the AWS architecture, and integrate AI into existing workflows. Production work includes monitoring and security, with human oversight and operational ownership. Amazon Bedrock and Amazon SageMaker appear in the proposed architecture mapping.
Yes. Intellias connects EHR/EMR, claims, laboratory, imaging, device, and patient systems. Integration capabilities include FHIR and HL7, DICOM, APIs, and health information exchange platforms. The implementation depends on the source systems and the workflows that need the information, with governance and access controls addressed as part of the data platform.
We include security and quality engineering in delivery, with traceability, testing, and auditability. For AWS workloads handling PHI, the architecture must address the applicable BAA and HIPAA-eligible services under shared responsibility. Delivery experience in regulated environments is distinct from company certification and does not guarantee compliance for a particular workload.
The supplied draft identifies Intellias as an AWS Advanced Tier Services Partner with AI Services, Migration Services, and Data & Analytics Services Competencies. It also lists AWS Public Sector participation and service-delivery credentials for AWS Lambda and Amazon DynamoDB.
Modernize the platform beneath your next healthcare product or service. Talk through the systems you need to connect and the requirements your next release needs to meet.