NSMS National Digital Engineering & Verification Center (aVerify™)

Led by Michael Rein, PhD

Digital Engineering, Systems Architecture, Integration, Verification & Validation

The NSMS National Digital Engineering & Verification Center (aVerify™) is an advanced systems engineering and verification center integrating digital engineering, model-based systems engineering, requirements management, interface architecture, system integration, traceability, and verification and validation (V&V) for next-generation biomedical and autonomous healthcare technologies.

Led by Michael Rein, PhD, aVerify™ develops the engineering architecture and assurance infrastructure required to transform complex biomedical concepts into integrated, traceable, testable, and deployment-ready systems.

The Center provides an independent engineering backbone connecting scientific requirements, hardware, software, AI, sensing, digital twins, clinical workflows, and system-level performance throughout the complete technology lifecycle.

aVerify™ bridges:

  • Digital Engineering

  • Systems Architecture

  • Model-Based Systems Engineering

  • Requirements Engineering

  • Interface Control

  • Hardware–Software Integration

  • Requirements Traceability

  • Verification & Validation

  • System Integration

  • Configuration Management

  • Digital Thread & Digital Engineering

  • Safety and Performance Assurance

Mission

To engineer, integrate, verify, and validate complex biomedical systems through a continuous digital engineering framework that connects requirements → architecture → interfaces → implementation → integration → verification → validation → deployment.

Core Engineering Programs

Digital Engineering & Systems Architecture

aVerify™ develops system architectures that translate scientific, clinical, operational, and regulatory objectives into executable engineering frameworks.

Core capabilities include:

  • System architecture development

  • Functional decomposition

  • System requirements definition

  • Hardware/software allocation

  • Model-based systems engineering (MBSE)

  • Digital engineering environments

  • Architecture modeling

  • Functional and physical interfaces

  • Design constraints

  • System-of-systems engineering

  • Technology integration planning

  • Architecture evolution management

These capabilities establish a common technical foundation across multidisciplinary programs and enable individual technologies to operate as components of an integrated system.

Requirements Engineering & Traceability

aVerify™ establishes rigorous requirements-management frameworks connecting program objectives to engineering implementation and objective evidence.

Capabilities include:

  • Stakeholder requirements

  • System requirements

  • Subsystem requirements

  • Functional requirements

  • Performance requirements

  • Interface requirements

  • Safety requirements

  • Verification requirements

  • Requirements decomposition

  • Bidirectional traceability

  • Requirements-to-test mapping

  • Change and configuration control

A continuous digital thread maintains traceability from mission need and clinical objective through system requirement, design element, interface, verification method, test result, and final evidence.

Interface Control & Interoperability Engineering

Complex biomedical platforms require reliable integration across hardware, software, sensors, AI models, clinical systems, and external research infrastructure.

aVerify™ develops and manages:

  • Interface Control Documents (ICDs)

  • Hardware interface specifications

  • Software interfaces and APIs

  • Data interfaces

  • Device communication protocols

  • Timing and synchronization requirements

  • System boundary definitions

  • External-system interfaces

  • Interoperability requirements

  • Interface verification

  • Integration specifications

  • Cross-platform compatibility

This framework enables independently developed components to integrate within a controlled and testable system architecture.

System Integration

aVerify™ provides structured integration engineering across the complete technology stack.

Integration activities include:

  • Hardware–software integration

  • Sensor integration

  • Edge/cloud integration

  • AI and algorithm integration

  • Digital twin integration

  • Device-to-platform integration

  • Clinical workflow integration

  • Subsystem integration testing

  • End-to-end system integration

  • Integration readiness reviews

  • Failure-mode identification

  • System performance characterization

Integration proceeds incrementally from component and subsystem testing to complete end-to-end system demonstration.

Verification & Validation

aVerify™ establishes rigorous V&V frameworks to demonstrate that technologies are built correctly, meet defined requirements, and perform as intended in their target environments.

Verification and validation capabilities include:

  • V&V planning

  • Verification matrices

  • Requirements-based testing

  • Design verification

  • Functional verification

  • Performance verification

  • Interface verification

  • Integration testing

  • System validation

  • Test protocol development

  • Objective evidence management

  • Acceptance criteria

  • Verification reporting

  • Validation traceability

The resulting evidence chain provides a defensible connection between requirement, implementation, test, result, and system-level performance.

Digital Thread & Configuration Management

aVerify™ maintains a continuous digital engineering record across the system lifecycle.

The digital thread connects:

Mission → Requirements → Architecture → Design → Interfaces → Implementation → Test → Evidence → Validation → Deployment

Core capabilities include:

  • Digital engineering repositories

  • Configuration management

  • Requirements baselines

  • Architecture baselines

  • Interface baselines

  • Version control

  • Change-impact analysis

  • Design history

  • Test evidence management

  • Technical review records

  • Configuration audits

  • Lifecycle traceability

This architecture ensures that system evolution remains controlled, transparent, reproducible, and auditable.

Engineering Technology Platforms

aVerify™: Digital engineering, integration, verification, and validation

aArchitect™: Systems architecture and model-based systems engineering

aRequirements™: Requirements engineering and bidirectional traceability

aInterface™: Interface Control Documents and interoperability engineering

aTrace™: Digital thread, configuration management, and lifecycle traceability

aTest™: Requirements-based testing and verification infrastructure

aValidate™: System-level validation and objective evidence management

Digital Engineering Environment: Integrated architecture, requirements, interfaces, configuration, testing, and evidence infrastructure

Integrated NSMS Engineering Ecosystem

aVerify™ serves as the digital engineering and system-assurance backbone connecting NSMS research, clinical, AI, sensing, laboratory, digital twin, and autonomous healthcare platforms.

aSensors™ → aVerify™
Sensor requirements, interfaces, performance verification, and system integration

aEyes™ → aVerify™
Imaging-system architecture, interfaces, integration, and performance verification

aLab™ → aVerify™
Laboratory automation architecture, hardware/software integration, and validation

aTwins™ ↔ aVerify™
Digital model integration, system simulation, requirements validation, and virtual testing

aData™ ↔ aVerify™
Data architecture, interoperability requirements, interface specifications, and standards integration

DrRobots™ ↔ aVerify™
Robotic architecture, hardware/software integration, safety-critical interfaces, and system-level V&V

Together, these capabilities create an integrated engineering pathway:

Define → Architect → Specify → Integrate → Trace → Verify → Validate → Deploy → Improve

R&D / Engineering Domains

  • Digital Engineering

  • Systems Engineering

  • Biomedical Systems Engineering

  • Model-Based Systems Engineering

  • Systems Architecture

  • Requirements Engineering

  • Interface Engineering

  • Verification & Validation

  • System Integration

  • Hardware–Software Integration

  • Digital Thread

  • Configuration Management

  • Test Engineering

  • Safety-Critical Systems

  • Autonomous Medical Systems

  • Medical Device Engineering

  • AI System Assurance

  • Interoperability Engineering

  • Translational Engineering

Leadership

Michael Rein, PhD
Director, NSMS National Digital Engineering & Verification Center (aVerify™)
Digital Engineering & V&V Lead

Michael Rein, PhD, leads NSMS digital engineering, systems architecture, requirements, interface control, integration, traceability, and verification and validation activities.

His work focuses on establishing rigorous engineering frameworks that connect multidisciplinary scientific and clinical objectives to system architecture, technical requirements, interfaces, implementation, integration, testing, and objective evidence.

Under his leadership, aVerify™ provides the digital engineering and V&V infrastructure required to transform complex biomedical technologies into integrated, traceable, testable, interoperable, and deployment-ready systems.