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TECH INNOVATION - DESIGN SCIENCE RESEARCH

AccelPath Research & Innovation ™

TRACK A 


Design Science Research Study: Developing & Evaluating a Scalable Cognitive Neurosystem Framework for Enterprise Healthcare Integration.


Doctoral Researcher (DBA) - William Boren 


To address complex operational bottlenecks and critical data silos in modern care environments, this study applies a Design Science Research (DSR) methodology to architect, artifact, and evaluate an enterprise-scale Cognitive Neurosystem Framework.


Designed to bridge the gap between complex cognitive health technologies and legacy IT infrastructures, the framework prioritizes seamless HIPAA-compliant integration, scalable agentic workflows, and high-reliability system interoperability across enterprise healthcare and senior living networks.

Key Objectives & Architectural Pillars 


  • Artifact Design & Multi-Tier Architecture: Built a modular framework integrating edge middleware, secure cloud environments, and specialized application lines (including the AccelPath NeuroSystem and Navigator suite) to support real-time cognitive evaluation and interactive care delivery.
  • Enterprise Integration & Interoperability: Developed robust, HIPAA-compliant API/data pipeline standards to eliminate friction between clinical data sources, setback box hardware deployments, and enterprise health management platforms.
  • Methodological Evaluation: Employed iterative DSR cycles—testing prototype artifacts for technical stability, latency mitigation, security compliance, and user-centric scalability in real-world deployment scenarios.
  • Strategic & Operational Alignment: Translated complex cognitive science metrics into actionable, data-driven operational insights for healthcare administrators, technology leaders, and clinical directors. 
  • Translational Health Impact: Translating cognitive science discoveries into clinical and operational practice, this research bridges bench-to-bedside gaps by deploying scalable, interoperable AI architectures directly into point-of-care and senior living environments.

Core Competencies & Keywords 


Design Science Research (DSR) | Translational Health Sciences | Cognitive Neurosystems | Enterprise Healthcare IT | HIPAA Compliance | Agentic AI Architecture | HealthTech Innovation | System Interoperability | Digital Health Strategy 


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AccelPath Research & Innovation ™

TRACK B


Design Science Research Study: Autonomous Robotic Systems in Senior Living and Assisted Care Environments. 


Doctoral Researcher (DBA) - William Boren 


This Design Science Research (DSR) study investigates the development, deployment, and iterative evaluation of specialized autonomous robotic artifacts designed to assist senior living communities. Guided by established DSR methodologies (Peffers et al., 2007; Hevner et al., 2004), this project bridges technical artifact creation with empirical field evaluation to address operational bottlenecks, caregiver fatigue, and resident engagement.

 

Problem Identification

Modern senior living facilities (independent living, assisted living, and memory care) face compounded operational pressures:


  • Caregiver Burnout & Labor Shortages: Routine logistical tasks (linen delivery, meal tray distribution, environmental checks) consume up to 35% of frontline staff hours, reducing direct engagement with residents.


  • Fall Risks & Unobserved Incidents: Gaps in passive monitoring lead to delayed incident response times during off-peak hours.


  • Cognitive & Social Disengagement: Scalable, non-intrusive interactive tools to support resident stimulation remain limited.


 

Evaluation Metrics & Validation Criteria

  1. Operational Efficiency: Reduction in staff transit hours via automated logistics tracking.
  2. Safety & Reliability: Navigation success rate, collision-free run time, and precision in dynamic obstacle avoidance (pedestrians, wheelchairs, walkers).
  3. Usability & Acceptance: System Usability Scale (SUS) scores across staff cohorts and resident acceptance indices.
  4. Privacy & Governance: Zero raw video storage; zero-trust local inference validation in accordance with HIPAA and data security standards.

Core Competencies & Keywords


Design Science Research (DSR) | HealthTech Innovation | Cognitive Neurosystems | Autonomous Mobile Robots (AMRs) | Agentic AI Architecture | Enterprise Healthcare IT | Embodied Robotics & HRI | HIPAA & Interoperability


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Humanoid Robot: Can It Really Clean Your House?

Introducing Figure 03

Tesla Bot Gen 3 Cooks a Meal & Cleans the House

Tesla Bot Gen 3 Cooking and Cleaning 

ADDITIONAL INFORMATION


  • The information on this website is for informational or educational purposes only and does not substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. 


  • Never disregard professional medical advice or delay in seeking it because of something you have read on this website.


  • To help bring our vision of cognitive health to life, some of the imagery on this site is AI-generated. These visuals represent the diverse communities we serve and the futuristic nature of our technology.

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