AI-first engineering

AWS for Healthcare.

Logiciel helps providers, payers and health-tech companies design, build and operate AWS workloads inside HIPAA, HITRUST and SOC 2 controls. EHR and claims integration, FHIR APIs, AWS HealthLake, AI on Bedrock and audit-ready landing zones.

Book an Intro Call Common Questions

3 standards

HIPAA, HITRUST and SOC 2 alignment

6 outcomes

What you get from the engagement

2 frameworks

Reference architecture and AI pattern

Why Logiciel

Why Healthcare Workloads on AWS Slow Down.

Why Logiciel · 01

Security and compliance teams enter the conversation after the architecture is built.

Why Logiciel · 02

PHI handling is inconsistent across accounts, services and pipelines.

Why Logiciel · 03

EHR and claims integrations sit on top of point-to-point connections that nobody owns.

Why Logiciel · 04

Audit evidence is reconstructed quarterly instead of collected continuously.

Why Logiciel · 05

Cost models are not aligned with payer contracts or service line economics.

Why Logiciel · 06

Generative AI use cases run into BAA, data residency and audit constraints late.

What you get

What You Get When You Work With Logiciel on AWS for Healthcare.

A HIPAA-aligned AWS landing zone with BAA-eligible services, KMS, audit logging and identity controls.

EHR and claims integration patterns using FHIR, HL7v2, X12 and clearinghouse APIs.

AWS HealthLake, Comprehend Medical and Bedrock integrated into governed clinical and operational workloads.

Continuous audit evidence for HIPAA, HITRUST and SOC 2\.

Cost reporting mapped to service lines, payer contracts or product lines.

A documented operating model that healthcare engineering teams can run.

What we build

AWS Healthcare Solutions Built for Regulated Workloads.

HIPAA-Aligned AWS Landing Zone

What it meansMulti-account AWS Organizations, IAM Identity Center, KMS, VPC design and audit logging built to BAA and HIPAA expectations.

EHR and FHIR Integration

What it meansFHIR APIs on AWS HealthLake and custom services, HL7v2 interfaces and Epic, Cerner and Athenahealth integration patterns.

Claims and Payer Workloads

What it meansX12 EDI, clearinghouse integration, claims processing, prior authorisation and member-facing applications.

Clinical and Operational AI on AWS

What it meansBedrock-based clinical assistants, document understanding, summarisation and operational copilots, with guardrails and audit logging.

AWS HealthLake and Comprehend Medical

What it meansHealthLake-based FHIR repositories and Comprehend Medical pipelines for clinical text processing.

Healthcare Data Platforms on AWS

What it meansData lakes and warehouses on S3, Redshift and Lake Formation, with clinical and claims data models.

Engagement

Engagement Models Designed for AWS for Healthcare Delivery.

Dedicated AWS Healthcare Squad

A long-running team of AWS engineers, security specialists and healthcare integration engineers embedded in your delivery model.

↳ Engagement

AWS Healthcare Advisory and Staff Augmentation

Senior AWS architects with healthcare experience who reinforce your in-house team during build phases.

↳ Engagement

Outcome-Based Healthcare Engagements

Fixed-scope work, for example a HIPAA landing zone, a FHIR API rollout, a HealthLake implementation or a Bedrock-based clinical assistant.

↳ Engagement

Under the hood

AWS Healthcare Services We Deliver.

HIPAA-Aligned AWS Landing Zone

Control Tower, Organizations, IAM Identity Center, KMS, VPC design and audit logging built to BAA and HIPAA expectations.

Included

EHR and FHIR Integration on AWS

FHIR APIs, HealthLake, HL7v2 interfaces and EHR integration patterns for Epic, Cerner and Athenahealth.

Included

Claims and Payer Workloads on AWS

X12 EDI, clearinghouse integration, claims processing and member-facing applications on AWS.

Included

Generative AI on Bedrock for Healthcare

Bedrock-based clinical and operational assistants, document understanding and summarisation, with guardrails and audit logging.

Included

AWS HealthLake and Comprehend Medical

HealthLake-based FHIR repositories and Comprehend Medical pipelines for clinical text and unstructured data.

Included

Healthcare Data Platforms on AWS

S3, Redshift, Lake Formation and Glue-based data platforms with clinical and claims data models.

Included

Insights

AWS for Healthcare Insights & Frameworks.

Patterns from our delivery teams that have run through real healthcare deployments.

Insights

HIPAA-Aligned AWS Reference Architecture

A reference for landing zone, identity, network, encryption and audit baselines that pass HIPAA and HITRUST review.

Insights

Healthcare AI on AWS Pattern

A reference pattern for clinical and operational AI on Bedrock and SageMaker, with guardrails, audit and human-in-the-loop controls.

Insights

How we work

Our AWS for Healthcare Framework.

Discovery and Compliance Framing

We map the workloads, the data flows, the regulatory shape and the audit requirements before any build.

Target Architecture and Controls

We design the AWS architecture and controls together with security and compliance, not after them.

Build and Integrate

We build the landing zone, the integrations and the applications in code, with controls and audit logging built in.

Pilot and Validate

We pilot inside a controlled environment, validate against audit and clinical safety, and prepare for production.

Operate and Scale

We move into a steady-state operating model and widen the platform across product lines, sites or business units.

Resources

Insights for tech leaders.

Whitepaper · PDF

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

Whitepaper · PDF

How a Healthcare Provider Integrated LLMs into Clinical Workflows Safely

Whitepaper · PDF

Why 78.9% of Healthcare AI Projects Fail in Production, and What the Surviving 21% Do Differently

Questions

Frequently asked questions.

What does AWS for Healthcare include?

We cover strategy, architecture, build, deployment and operations for AWS for Healthcare, aligned with your business priorities and operating constraints.

How long does AWS for Healthcare typically take?

Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.

Can Logiciel integrate AWS for Healthcare with our existing systems?

Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.

Do you offer fixed-cost engagements for AWS for Healthcare?

Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.

Who owns the deliverables from a AWS for Healthcare engagement?

You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.

How do you handle governance and compliance for AWS for Healthcare?

We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.

How do you optimize cost for AWS for Healthcare?

We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.

Do you support ongoing operations after launch for AWS for Healthcare?

Yes. We run managed operations with SRE, observability, on-call and continuous improvement.

Let's build

Accelerate AWS for Healthcare.

Ready to make AWS for Healthcare a stable foundation your engineering team can build on? Partner with Logiciel to design, build and operate AWS for Healthcare that engineering, security and business teams can all defend.

Plan your AWS healthcare workload

AWS for Healthcare.

See Logiciel in action.

Why Healthcare Workloads on AWS Slow Down.

Security and compliance teams enter the conversation after the architecture is built.

PHI handling is inconsistent across accounts, services and pipelines.

EHR and claims integrations sit on top of point-to-point connections that nobody owns.

Audit evidence is reconstructed quarterly instead of collected continuously.

Cost models are not aligned with payer contracts or service line economics.

Generative AI use cases run into BAA, data residency and audit constraints late.

What You Get When You Work With Logiciel on AWS for Healthcare.

AWS Healthcare Solutions Built for Regulated Workloads.

HIPAA-Aligned AWS Landing Zone

EHR and FHIR Integration

Claims and Payer Workloads

Clinical and Operational AI on AWS

AWS HealthLake and Comprehend Medical

Healthcare Data Platforms on AWS

Engagement Models Designed for AWS for Healthcare Delivery.

Dedicated AWS Healthcare Squad

AWS Healthcare Advisory and Staff Augmentation

Outcome-Based Healthcare Engagements

AWS Healthcare Services We Deliver.

HIPAA-Aligned AWS Landing Zone

EHR and FHIR Integration on AWS

Claims and Payer Workloads on AWS

Generative AI on Bedrock for Healthcare

AWS HealthLake and Comprehend Medical

Healthcare Data Platforms on AWS

AWS for Healthcare Insights & Frameworks.

Patterns from our delivery teams that have run through real healthcare deployments.

HIPAA-Aligned AWS Reference Architecture

Healthcare AI on AWS Pattern

Our AWS for Healthcare Framework.

Discovery and Compliance Framing

Target Architecture and Controls

Build and Integrate

Pilot and Validate

Operate and Scale

Insights for tech leaders.

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

How a Healthcare Provider Integrated LLMs into Clinical Workflows Safely

Why 78.9% of Healthcare AI Projects Fail in Production, and What the Surviving 21% Do Differently

Frequently asked questions.

Accelerate AWS for Healthcare.