We combine ongoing QA ownership, software testing services, automation engineering, and release support around the workflows and integrations healthcare products depend on.

QA ownership aligned to your roadmap

with testing priorities shaped around product risk, releases, integrations, and critical healthcare workflows

Broader product coverage

across functional, regression, API, integration, end-to-end, web, mobile, and exploratory testing

Risk-based release testing

focused on workflows where defects could disrupt users, operations, data flows, or connected systems

Scalable test automation

for repeatable scenarios that should not depend on manual execution every release

Clear quality visibility

through structured test results, defect reporting, coverage insights, and unresolved release risks

QA integrated with engineering

across development workflows, environments, CI/CD, defect management, and release processes

A QA practice that evolves with the product

as workflows, integrations, users, architecture, and release frequency continue to grow

Highlights

QA Coverage Across Critical Healthcare Workflows.

Clinical Workflow Testing

What it meansValidate multi-step workflows, business rules, permissions, state changes, forms, handoffs, and user interactions across clinical applications.

Patient Portal Testing

What it meansTest registration, authentication, scheduling, messaging, forms, payments, results, notifications, and other patient-facing journeys.

EHR and Integration Testing

What it meansValidate data exchange, field mappings, API behavior, workflow transitions, authentication, error handling, and downstream dependencies.

Claims and Billing Testing

What it meansTest eligibility, claims processing, billing logic, payment workflows, status changes, exceptions, and related integrations.

Automated QA Testing

What it meansBuild and maintain automation for high-value UI, API, integration, and end-to-end healthcare regression scenarios.

Web and Mobile QA

What it meansValidate critical healthcare journeys across supported browsers, devices, roles, application states, and mobile experiences.

Release Validation

What it meansCoordinate regression, defect verification, smoke testing, integration checks, and release-risk assessment before deployment.

Technology

Managed QA Models Built Around Healthcare Technology Teams.

Dedicated Managed QA Team

A stable QA team works alongside your engineering organization, taking ownership of planning, execution, automation, reporting, and continuous quality improvement.

QA Team Extension

QA engineers and automation specialists strengthen your existing team where additional capacity, specialist expertise, or stronger automation coverage is needed.

A defined testing initiative built around a product release, integration rollout, automation objective, migration, quality improvement goal, or specific workflow.

Under the hood

Managed QA Services We Deliver for Healthcare.

QA Assessment and Quality Strategy

We review your applications, architecture, release process, current coverage, automation, defect patterns, environments, integrations, and recurring QA bottlenecks.

Included

Test Planning and Coverage Management

We structure testing around healthcare workflows, business risk, user roles, integration dependencies, release priorities, and critical scenarios.

Included

Functional and Regression Testing

We execute repeatable validation across features, business rules, workflows, permissions, states, edge cases, and high-value regression areas.

Included

API and Integration Testing

We validate service contracts, data exchange, authentication, business logic, failure conditions, and dependencies across connected healthcare systems.

Included

Test Automation Engineering

We design, build, stabilize, and maintain automated QA testing across UI, APIs, integrations, and critical healthcare workflows.

Included

QA Tools and Test Management Integration

We work with suitable QA testing software, automation frameworks, CI/CD pipelines, defect systems, and test management tools without adding unnecessary complexity.

Included

Release Quality and Continuous Improvement

We track defects, recurring failures, coverage gaps, automation health, and release risks to continuously strengthen the QA practice.

Included

Insights

Healthcare QA Insights & Frameworks.

Healthcare Workflow Risk Model

A practical framework for prioritizing QA using workflow criticality, user impact, integration complexity, data dependencies, change frequency, and defect history.

Insights

Manual-to-Automation Decision Framework

A structured way to determine which healthcare scenarios should be automated, which should remain exploratory or manual, and where automation creates sustainable value.

Insights

Healthcare Release Readiness Model

A framework for defining critical coverage, automation health, unresolved defects, integration risk, testing ownership, and release confidence.

Insights

How we work

Our Managed QA Framework for Healthcare.

Product and QA Baseline

We review healthcare applications, architecture, release cadence, integrations, current coverage, automation, tools, environments, and recurring quality problems.

Workflow, Risk, and Coverage Design

We map critical patient, provider, administrative, and operational journeys, integration risks, regression needs, and automation opportunities.

QA Operating Model and Tooling

We define testing ownership, environments, QA testing software, automation strategy, test management, defect workflows, reporting, and release processes.

Embedded Testing and Automation

Our QA team works inside your delivery cycle, executing functional, regression, API, integration, exploratory, web, mobile, and automated testing as the product changes.

Measure, Improve, and Scale

We monitor quality trends, strengthen coverage, reduce repetitive manual work, stabilize automation, and adapt the QA model as systems and integrations evolve.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut development costs 50% and launched 3× faster with dedicated dev teams.

Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate 56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Whitepaper · PDF

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

Whitepaper · PDF

Building AI-Ready Data Foundations in Healthcare

Whitepaper · PDF

How a Healthcare Provider Integrated LLMs into Clinical Workflows Safely

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles

CEO, Leap

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev

Founder & CEO, Zeme

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli

Co-Founder, JobProgress

Questions

Frequently asked questions.

What are managed QA services for healthcare?

Managed QA services provide an ongoing quality engineering function for healthcare software. They can include test strategy, functional QA testing, regression, API and integration testing, automation, release validation, reporting, and continuous quality improvement.

What healthcare software can you test?

We can support EHR-connected products, patient portals, healthcare SaaS platforms, claims and billing systems, mobile applications, internal operational tools, APIs, and integration-heavy healthcare software.

Can you test EHR integrations and connected healthcare systems?

Yes. QA testing can cover APIs, data exchange, field mappings, authentication, workflow transitions, error handling, business rules, and dependencies across connected systems.

Can you work with our existing QA team?

Yes. We can operate as a complete managed QA function or work alongside your existing QA and engineering teams to add capacity, automation expertise, specialist coverage, or stronger testing processes.

Can you improve our existing automated QA testing?

Yes. We can assess current automation, reduce flaky tests, remove duplication, improve framework architecture, strengthen reporting, reduce maintenance effort, and expand coverage across high-value healthcare workflows.

Which QA testing software and tools do you use?

The right QA testing software depends on your application architecture, technology stack, existing engineering workflows, and testing needs. We can work with suitable tools already in place or recommend alternatives where needed.

How do you approach healthcare test data?

We align testing with your environment controls, access policies, privacy requirements, and internal governance. Depending on the system, this can include controlled datasets, masked or synthetic data, restricted access, and environment-specific test practices.

Let's build

Make Quality a Reliable Part of Healthcare Delivery.

Strengthen coverage across critical workflows, integrations, automation, and releases with a managed QA function built to evolve alongside your healthcare products.

Talk to Our Managed QA Team

Managed QA Services - Healthcare.

See Logiciel in action.

Why QA Gets Harder as Healthcare Software Scales.

Healthcare workflows often span multiple applications, roles, integrations, and data states.

A change in one system can create regression risk across EHRs, APIs, portals, claims, and downstream services.

Patient, provider, administrative, and operational journeys require different permissions, conditions, and validation paths.

Manual regression becomes difficult to sustain as healthcare products, integrations, and release frequency grow.

QA teams must validate business rules, data flows, integrations, and edge cases, not just individual screens.

Fragile automation creates false failures and maintenance overhead when teams need dependable release feedback.

Healthcare teams need QA embedded throughout delivery, not a final checkpoint before production.

What You Get With Logiciel Managed QA Services for Healthcare.

QA ownership aligned to your roadmap

Broader product coverage

Risk-based release testing

Scalable test automation

Clear quality visibility

QA integrated with engineering

A QA practice that evolves with the product

QA Coverage Across Critical Healthcare Workflows.

Clinical Workflow Testing

Patient Portal Testing

EHR and Integration Testing

Claims and Billing Testing

Automated QA Testing

Web and Mobile QA

Release Validation

Managed QA Models Built Around Healthcare Technology Teams.

Dedicated Managed QA Team

QA Team Extension

Managed QA Services We Deliver for Healthcare.

QA Assessment and Quality Strategy

Test Planning and Coverage Management

Functional and Regression Testing

API and Integration Testing

Test Automation Engineering

QA Tools and Test Management Integration

Release Quality and Continuous Improvement

Healthcare QA Insights & Frameworks.

Healthcare Workflow Risk Model

Manual-to-Automation Decision Framework

Healthcare Release Readiness Model

Our Managed QA Framework for Healthcare.

Product and QA Baseline

Workflow, Risk, and Coverage Design

QA Operating Model and Tooling

Embedded Testing and Automation

Measure, Improve, and Scale

Tailored engineering for your industry.

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Scaled to 7-figure ARR with AI-augmented software teams.

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Insights for tech leaders.

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

Building AI-Ready Data Foundations in Healthcare

How a Healthcare Provider Integrated LLMs into Clinical Workflows Safely

What our clients say.

Frequently asked questions.

Make Quality a Reliable Part of Healthcare Delivery.