From Data to Decisions:
Accelerating Trials, Improving Care, Strengthening Supply Chains
We help sponsors, CROs, labs, FQHCs, and healthcare leaders close the gap between fragmented data and measurable outcomes.
Reduce costly trial delays
Improve lab turnaround times
Raise UDS scores and accelerate cancer screenings
Strengthen supply chain resilience
About Us
Closing the gap between healthcare data and decisions
Dr. Amit K. Shah, Ph.D.
Biomedical Engineer & Data & AI Strategist
-
Abbott
Automated lab benchmarking ($1.8M value creation) -
Apricity Health
Built AI tools for oncology care teams -
Shirley Ryan Ability Lab
Motor control, planning under constraint, clinical studies on TBI and stroke survivors
The Safety-Margin Framework
AI Guardrails
Where AI operates safely
Decision-System Boundaries
Testing workflows at operational limits to catch failures early
Financial Margins
Tying KPIs to ROI, protecting cost and reimbursement
Our Services
We help sponsors, CROs, labs, FQHCs, and helathcare leaders close the gap between fragmented data and measurable outcomes.
Data & AI Readiness
Baseline KPIs, assess maturity, define roadmap.
Clear KPI visibility, practial adoption path
Data Management & Integration
Unify CTMS, EDC, multi-EMR, lab, and supply chain data with virtualization & knowledge graphs.
Audit-ready, unified data that leaders can trust.
AI Governance
Guardrails, audit trails, human-in-the-loop processes.
Regulator-ready assurance, reduced compliance risk
Predictive Analytics & AI
Forecast enrollment, lab turnaround, UDS completion, supply shortages
Shorter cycles, proactive allocation, reduced surprises
Custom Software Development
Build lightweight extensions or automation such as agentic AI when off-the-shelf tools fall short.
Seamless workflows, more value from existing systems
Who We Help
Specialized solutions for healthcare organizations across the industry
Sponsors & CROs
Reduce query closure times, cut monitoring backlog, finish studies faster.
Labs
Improve turnaround time, reduce re-tests, standardize KPI reporting
FQHCs & Healthcare Providers
Improve UDS metrics, accelerate cancer screening, strengthen reimbursement.
Healthcare Supply Chains
Reduce stockouts, forecast shortages, link supply continuity to cost savings.
Our Framework
The Safety-Margin Framework: AI Guardrails -> Decision Boundaries -> Financial Margins
AI Guardrails
Establish safe operational boundaries for AI systems in regulated healthcare environments.
Ensure secure, compliant data exchange across multiple EMRs and care systems
Decision Boundaries
Test workflows at operational limits to identify and prevent failures before they occur
Financial Margins
Connect KPIs directly to ROI while protecting costs and reimbursement systems.
Pilot-First Approach
30-Day Readiness Assessment
Comprehensive evaluation of your current data and AI capabilities
90-Day Pilot Program
Focused implementation tied to one specific KPI for measurable results
“No rip-and-replace, build on what you have”
Potential Outcomes
Measurable outcomes across healthcare organizations
15%
Lab Turnaround Reduction
Decreased delayed turnaround times through predictive analytics
20%
Faster Query Resolution
Accelerated clinical trial query closure through AI automation
25%
Cancer Screening Increase
Improved cancer screening completion rates at FQHCs
30%
Cancer Screening Increase
Improved cancer screening completion rates at FQHCs
Case Study Narratives
Proactive Laboratory Operations Planning with What-If Modeling and Simulation
In the wake of the COVID-19 pandemic, laboratories faced unprecedented challenges, grappling with surging demand for diagnostic testing and operational bottlenecks. Our innovative approach harnesses
AI-Driven Insights for Community Corrections
Leveraging Generative AI for Training and Sentiment Analysis in Corrections IntroductionThis case study explores the proof of concept (POC) developed for the U.S. Department of
Pioneering Insights in Sales Forecasting and Promotion Optimization at a Global Healthcare Leader
OverviewDuring a high-stakes internal hackathon at a global healthcare leader, our team aimed to tackle persistent challenges in sales forecasting and promotion ranking. The goal
Enhancing Cancer Care with AI-Powered Symptom Management and Follow-Up Systems
Before:Cancer care teams faced persistent challenges, including staff shortages and inconsistent patient follow-up, which undermined both patient outcomes and clinical efficiency. Patients often contacted their
AI and Data Strategy Posts
Introduction: AI and Data as Strategic Enablers In an era where data is the backbone of innovation, organizations must move beyond passive AI adoption to actively integrating AI literacy into their core strategy. At GNS-AI, we believe that AI and data literacy are not just technical skills but foundational capabilities that empower teams, drive innovation, […]
Get Started
Ready to transform your healthcare data into actionable insights?
Streamline your business with data & AI strategies
Are you seeking help with your data and AI initiatives or interested in a partnership? Feel free to reach out to us to share your queries or thoughts. Looking forward to hearing from you!