AWS · HIPAA-Eligible · Healthcare Cloud Infrastructure
Peerbits designs, migrates, and operates HIPAA-compliant AWS healthcare infrastructure — from EHR workload migration and clinical data lakes to Amazon HealthLake, Comprehend Medical, and AI/ML pipelines that scale with your patient population.
AWS Migrations
Avg. Cost Reduction
HIPAA-Eligible Services
HealthLake
● Operational
Comprehend Medical
● Operational
Transcribe Medical
● Operational
RDS (Encrypted)
● Multi-AZ Active
S3 (HIPAA Vault)
● 99.999999999%
SageMaker
● Scaling: +2 nodes
HEALTHLAKE QUERIES / HR
48K
↑ +12% vs last hr
MONTHLY COMPUTE COST
$41K
↓ -47% vs on-prem
HIPAA-ELIGIBLE SERVICES ACTIVE IN THIS ACCOUNT
STORAGE (S3)
2.8TB
AES-256 · Versioned
FHIR RECORDS
1.4M
HealthLake R4
COMPLIANCE
100%
BAA · SOC 2 · HIPAA
Compliance & Standards
HIPAA-eligible, FHIR R4-native healthcare data lake — store, transform, and query petabytes of clinical data with integrated medical NLP and bulk export capabilities.
FHIR R4 Data Store
Extract medical entities (diagnoses, medications, procedures, anatomy) from unstructured clinical text — ICD-10-CM, RxNorm, and SNOMED CT ontology mapping included.
Clinical NLP · Entity Extraction
Medical-domain speech-to-text trained on clinical terminology across 60+ medical specialties — real-time transcription for ambient documentation and telemedicine platforms.
Clinical Speech Recognition
Purpose-built storage and analysis service for genomic, transcriptomic, and proteomic data — HIPAA-eligible, optimized for petabyte-scale genomics workflows and variant analysis.
Genomics · Multiomics Storage
HIPAA-eligible DICOM image storage and access at medical imaging scale — millisecond image retrieval, sub-second frame delivery for radiology AI and imaging analytics workloads.
Medical Imaging · DICOM
End-to-end ML platform for training, deploying, and monitoring clinical AI models — risk stratification, readmission prediction, imaging AI, and NLP pipelines at production scale.
ML / AI · Clinical Models
HIPAA-eligible serverless BI for population health dashboards, RCM analytics, quality measure reporting, and HEDIS measure tracking — querying S3 and HealthLake directly.
BI · Population Health Analytics
HIPAA-eligible IoT device management and data ingestion for RPM platforms — connecting FDA-cleared medical devices, managing device fleets, and routing telemetry to HealthLake.
RPM · IoT · Device Management
The On-Premises Reality
Healthcare IT leaders managing aging on-premises infrastructure face compounding pressures: hardware refresh cycles that can't keep up with data growth, inability to provision AI/ML compute on demand, and compliance overhead that consumes engineering bandwidth that should be building clinical products.
Healthcare data volumes are growing at 36% annually — driven by EHR adoption, medical imaging, RPM telemetry, genomics, and real-world evidence programs. On-premises data centers require 18–24 month hardware refresh cycles that leave organizations perpetually under-provisioned relative to actual clinical data volumes. AI/ML workloads requiring GPU compute — clinical NLP, imaging AI, risk stratification — are essentially impossible to run cost-effectively on owned infrastructure at healthcare scales.
AWS provides a BAA covering 150+ HIPAA-eligible services — but signing the BAA does not make your workloads HIPAA-compliant. AWS operates on a shared responsibility model: AWS secures the infrastructure layer, but your organization is responsible for encryption configuration, access control, audit logging, network segmentation, and data governance within your AWS environment. Organizations that deploy healthcare workloads on AWS without proper security architecture create significant PHI exposure that the AWS BAA does not cover.
Healthcare AWS environments have distinct cost patterns that generic cloud cost management tools miss: medical imaging S3 storage with unpredictable access frequency, EHR workloads with clinical session bursts during office hours, HealthLake query patterns with large FHIR bundle responses, and SageMaker training jobs that run once monthly but consume significant GPU time. Organizations that migrate healthcare workloads to AWS without workload-specific optimization routinely see cloud bills 2–3× their initial estimates.
Moving clinical application workloads to AWS disrupts the HL7 v2.x MLLP interfaces and FHIR API connections that your EHR, lab systems, and imaging platforms depend on. MLLP — the transport protocol for HL7 v2.x — was designed for TCP connections within a single data center network and behaves unreliably across VPN tunnels and VPC peering connections without proper configuration. Organizations that lift-and-shift HL7 interfaces to AWS without architecture redesign consistently experience message loss, ACK timeout storms, and interface downtime during the migration window.
Reference Architecture
Peerbits deploys every healthcare AWS environment against the AWS Well-Architected Framework's HIPAA Healthcare Reference Architecture — multi-AZ availability, defense-in-depth security controls, and complete PHI audit coverage from the VPC boundary to the application layer.
AWS VPC — us-east-1 · HIPAA BAA Active · Multi-AZ
Internet
EHR Clients
Mobile / Browser
AWS WAF
+ Shield Adv.
ALB
HTTPS · TLS 1.3
AWS Healthcare AI
Comprehend Medical
NLP · ICD-10 · RxNorm
Transcribe Medical
Clinical Speech · 60+ specialties
HealthOmics
Genomics · Multiomics
PUBLIC SUBNET (AZ-1 + AZ-2)
ECS / EKS
App Containers
Lambda
FHIR APIs
API Gateway
HL7 / FHIR R4
SageMaker
Clinical AI / ML Endpoints
PRIVATE SUBNET (No Internet Route) · KMS Encrypted · PHI at Rest
Amazon HealthLake
FHIR R4 Data Store
RDS Aurora
Multi-AZ · Encrypted
ElastiCache
Redis · Session Cache
S3 (Clinical Archive)
HIPAA · Versioned · Glacier
SECURITY & COMPLIANCE LAYER — Spanning All Subnets
// Figure 1 — HIPAA-Compliant AWS Healthcare Architecture. All PHI stored in private subnets with no direct internet route. KMS encryption at rest, TLS 1.3 in transit, CloudTrail audit on all API calls, GuardDuty threat detection, and cross-region disaster recovery to us-west-2.
HIPAA COVERAGE
AWS maintains a BAA covering 150+ services — but a signed BAA does not configure those services to be HIPAA-compliant. Every service requires specific configuration: encryption settings, logging enablement, access controls, and network isolation. Peerbits configures all of them correctly from day one.
Compute · EHR & Application Hosting
HIPAA-EligibleManaged Relational DB · Clinical Data
HIPAA-EligibleClinical Archive · Imaging · Backups
HIPAA-EligibleServerless · FHIR APIs · Event Processing
HIPAA-EligibleKubernetes · Microservices · Containers
HIPAA-EligibleFHIR R4 Data Store · AI-driven Analytics
HIPAA-EligibleClinical NLP · Entity Extraction
HIPAA-EligibleClinical Speech · Documentation AI
HIPAA-EligibleML Platform · Clinical AI Models
HIPAA-EligibleAPI Logging · PHI Access Tracking
HIPAA-CrucialKey Management · PHI Encryption
HIPAA-CrucialThreat Detection · Anomaly Monitoring
HIPAA-CrucialCompliance Rules · Resource Governance
HIPAA-EligiblePopulation Health BI · Analytics
HIPAA-EligibleGenomics · Multiomics Storage & Analysis
HIPAA-EligibleDICOM · Medical Image Repository
HIPAA-EligibleFull Solution Suite
Nine specialized AWS healthcare services — from HIPAA-compliant infrastructure design and EHR migration to Amazon HealthLake implementation, clinical AI pipelines, and ongoing AWS managed services for healthcare organizations.
End-to-end HIPAA-compliant AWS environment design — VPC architecture, subnet segmentation, IAM least privilege, KMS encryption, CloudTrail audit logging, GuardDuty threat detection, AWS Config compliance rules, and Security Hub centralized findings. BAA execution and AWS healthcare whitepaper alignment included.
Zero-downtime EHR and clinical application migration to AWS — assessment, application dependency mapping, HL7 interface re-architecture for cloud, database migration using AWS DMS with encrypted replication, and staged cutover with parallel operation validation before decommissioning on-premises infrastructure.
Full Amazon HealthLake deployment — FHIR R4 data store configuration, EHR data ingestion pipelines (HL7 v2 → FHIR R4 transformation), bulk import from S3, real-time data API configuration, integrated Comprehend Medical NLP annotation, and QuickSight dashboards for population health analytics on top of the FHIR data lake.
End-to-end clinical AI pipelines on Amazon SageMaker — data preparation from HealthLake and S3, model training for risk stratification, readmission prediction, and clinical NLP. SageMaker Endpoint deployment for real-time inference, Model Monitor for clinical drift detection, and HIPAA-compliant MLOps pipelines.
HIPAA-compliant clinical data lake architecture — S3 data lake with Athena SQL query layer, AWS Glue ETL for EHR claims, labs, and RPM data normalization, Lake Formation data governance and column-level PHI access controls, and QuickSight dashboards for population health, quality measures, and financial reporting.
Remote Patient Monitoring infrastructure on AWS — IoT Core device management and MQTT ingestion from FDA-cleared medical devices, Greengrass edge processing for bandwidth-sensitive device types, Kinesis Data Streams for real-time telemetry processing, Lambda alerting, and HL7 Observation write-back to HealthLake.
Workload-specific AWS cost optimization for healthcare environments — S3 Intelligent-Tiering for medical imaging archives, Reserved Instances for EHR compute, Spot Instances for SageMaker training and batch analytics, RDS rightsizing, and Cost Explorer dashboards with clinical workload tagging — delivering average 47% cost reduction vs. unoptimized lift-and-shift deployments.
Comprehensive AWS security posture management for healthcare — Security Hub with HIPAA and NIST standards enabled, GuardDuty threat intelligence, Macie PHI data discovery and classification, S3 Detective for incident investigation, AWS Config rules enforcing encryption and network controls, and quarterly Well-Architected Security reviews.
Ongoing management of your AWS healthcare environment — 24/7 infrastructure monitoring, CloudWatch alarms and runbooks, patch management for EC2 and RDS, certificate renewal, security finding remediation, monthly AWS Well-Architected Reports, quarterly Well-Architected reviews, and a dedicated AWS Healthcare Solutions Architect for your account.
ENGAGEMENT MODEL
Healthcare AWS migrations fail when treated as generic lift and shift projects. Every clinical workload has HIPAA implications, HL7 interface dependencies, and data governance requirements that must be designed before the first EC2 instance is provisioned.
STEP 1
Two-week AWS Well-Architected review of your current environment or on-premises landscape — clinical workload inventory, HL7 interface mapping, data classification (PHI vs. non-PHI), HIPAA control gap analysis, and a cloud migration roadmap with workload prioritization and cost modelling.
STEP 2
AWS Landing Zone deployment — multi-account structure, VPC architecture, IAM, KMS, CloudTrail, GuardDuty, Security Hub, and Config rules — before any clinical workloads are provisioned. BAA execution with AWS. All HIPAA controls verified with Macie. All HIPAA controls before migration begins.
STEP 3
Staged clinical workload migration — HL7 interface re-architecture, database migration via AWS DMS with encrypted replication, application containerization (ECS/EKS), HealthLake FHIR data ingestion, and parallel operation validation with live clinical traffic before decommissioning on-premises systems.
STEP 4
Post-migration cost optimization, performance tuning, and ongoing AWS managed services — 24/7 monitoring, security finding remediation, quarterly Well-Architected reviews, and a dedicated AWS Healthcare Solutions Architect managing your account and ensuring continuous HIPAA compliance posture.
COMPETITIVE DIFFERENTIATION
Healthcare organizations evaluating cloud platforms need to understand how AWS, Azure, and GCP compare on the services that matter most for clinical workloads: FHIR-native data stores, medical AI/NLP, compliance certifications, and healthcare-specific support programs.
| Capability | AWS (Peerbits) | Azure | Google Cloud | On-Premises |
|---|---|---|---|---|
| Native FHIR R4 Managed Data Store | ✓ Amazon HealthLake | ✓ Azure Health Data | ✓ Cloud Healthcare API | - |
| Clinical NLP (Medical-domain trained) | ✓ Comprehend Medical | Azure AI Language | Healthcare NL API | - |
| Clinical Speech Recognition | ✓ Transcribe Medical | Azure Speech (generic) | Speech-to-Text (generic) | - |
| Medical Imaging DICOM Store | ✓ HealthImaging | ✓ Azure DICOM Service | Partial | On-prem PACS |
| Genomics / Multiomics Storage | ✓ HealthOmics | Microsoft Genomics | Life Sciences API | - |
| HIPAA-Eligible Services Count | 150+ services | 100+ services | 50+ services | N/A |
| FedRAMP Authorization (Gov Workloads) | ✓ GovCloud | ✓ Gov Cloud | Limited | - |
| Average Healthcare Client Cost Savings vs. On-Prem | 47% (Peerbits avg.) | 35–42% | 30–40% | Baseline |
MEASURED OUTCOMES
Across 280+ AWS healthcare migrations and deployments — from single-hospital EHR migrations to multi-state health system cloud transformations — these are the performance, compliance, and financial outcomes Peerbits delivers.
47%
vs. on-premises total cost of ownership — including hardware, data center, staffing, and licensing — measured 12 months post-migration.
280+
Across hospitals, health systems, digital health platforms, payers, and life sciences organizations — all workload categories.
99.99%
Average uptime across all Peerbits-managed AWS healthcare environments (multi-AZ at 99.99%) with zero health-critical outages.
$0
Zero OCR penalty events across all Peerbits-managed AWS healthcare deployments — enabled by HIPAA control monitoring and GuardDuty threat response.
90
Average time from AWS assessment to first clinical workload in production — including Landing Zone, HL7 migration, and security validation.
60%
Clinical AI workloads on SageMaker using Spot Instances vs. owned GPU hardware — enabling healthcare organizations to run ML that was previously cost-prohibitive.
1.4M+
Cumulative live patient records stored across Peerbits-deployed Amazon HealthLake instances — enabling clinical analytics and AI that was impossible in EHR silos.
4hr
Maximum Recovery Time Objective achieved across all Peerbits multi-region AWS healthcare deployments — with 1-hour RPO using cross-region RDS replication and S3 replication.
From regional health systems migrating decades-old EHR infrastructure to digital health startups building clinical AI on AWS — Peerbits healthcare cloud work in production.
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After a rigorous selection process, choosing Peerbits as our technology partner was the right choice. Peerbits is an innovative company with a team of talented, committed, and smart individuals. Thank you for helping us deliver world-class healthcare solutions.
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Healthtech , AWS / Cloud ,
A healthcare startup struggled with increasing loads of data and manual infrastructure management as its business expanded. Peerbits successfully built cloud infrastructure using AWS for their system possessing auto-scaling, automated and more.
Healthtech ,
This is a native iOS app that helps to bridge the gap between the patients and healthcare providers. Patients can monitor their health on a regular basis and share the data with the doctors and healthcare professionals.
Healthtech , Chatbot ,
Remote patient monitoring app helps to bridge the gap between patients and healthcare providers. It tracks the vitals of the patients and sends it to the doctors.
A signed AWS BAA is just the starting point — not the finish line. HIPAA-compliant AWS infrastructure requires VPC network isolation with no direct PHI exposure to the internet, KMS encryption for all PHI at rest, TLS 1.3 in transit, CloudTrail audit logging on every API call touching PHI, GuardDuty threat detection, IAM least-privilege access, and AWS Config rules that prevent non-compliant resource creation. Peerbits designs all of these controls architecturally from day one — not retrofitted after deployment.
Most healthcare organizations reach production AWS in 90 days — including a two-week Well-Architected Assessment, Landing Zone and Security Build with HIPAA controls, staged clinical workload migration with HL7 interface re-architecture, and parallel operation validation before decommissioning on-premises systems. Complex multi-site EHR migrations or large HealthLake implementations may extend to 120–150 days depending on interface count and data volume.
Amazon HealthLake is a HIPAA-eligible, FHIR R4-native managed data store that lets you ingest, normalize, and query clinical data at scale — with integrated Comprehend Medical NLP for entity extraction and QuickSight for population health analytics. If your organization needs to consolidate EHR data, run clinical AI, support payer data exchange, or build population health programs, HealthLake is the right foundation. Peerbits has deployed HealthLake environments storing 1.4M+ FHIR records.
AWS leads on healthcare-specific managed services — Amazon HealthLake (FHIR R4 native), Comprehend Medical (clinical NLP), Transcribe Medical (clinical speech), HealthImaging (DICOM), and HealthOmics (genomics) are purpose-built for clinical workloads with no equivalent depth on Azure or GCP. AWS also has 150+ HIPAA-eligible services vs. 100+ on Azure and 50+ on GCP, and GovCloud for federal healthcare workloads. Peerbits clients average 47% infrastructure cost reduction vs. on-premises — higher than comparable Azure or GCP migrations.
HL7 v2.x MLLP interfaces — the transport protocol connecting your EHR, lab systems, and imaging platforms — were designed for single data center TCP connections and behave unreliably across VPN tunnels without re-architecture. Peerbits re-architects all HL7 interfaces for cloud deployment: migrating MLLP to Amazon MQ or API Gateway-based FHIR endpoints, running parallel operation during migration, and validating zero-downtime cutover against live message samples before go-live. 72% of EHR cloud migrations experience HL7 disruption — Peerbits clients do not.
Peerbits clients average 47% infrastructure cost reduction vs. on-premises total cost of ownership — measured 12 months post-migration, including hardware, data center, staffing, and licensing. Healthcare-specific savings come from S3 Intelligent-Tiering for imaging archives, Reserved Instances for predictable EHR workloads, Spot Instances for SageMaker training jobs, and RDS rightsizing. Clinical AI compute costs drop 60% on average using SageMaker Spot vs. owned GPU hardware.
Peerbits provides ongoing AWS healthcare managed services — 24/7 infrastructure monitoring with CloudWatch alarms and runbooks, patch management for EC2 and RDS, certificate renewal, security finding remediation from GuardDuty and Security Hub, monthly AWS Well-Architected Reports, quarterly Well-Architected reviews, and a dedicated AWS Healthcare Solutions Architect managing your account. All managed environments maintain continuous HIPAA compliance posture with zero OCR penalty events to date.
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