AI-First CultureNetsmartz AI Pod Case Study: Healthcare
Learn how a US-based healthcare provider partnered with Netsmartz to deploy an AI Pod that streamlined patient identification for oncology trials, improving enrollment rates and physician efficiency.
Talk to a Netsmartz ExpertHow a Healthcare Network Accelerated Clinical Trial Recruitment with Dedicated AI Pods
Learn how a US-based healthcare provider partnered with Netsmartz to deploy an AI Pod that streamlined patient identification for oncology trials, improving enrollment rates and physician efficiency.
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Deliverables
Client Overview
The client is a regional healthcare network running multiple oncology clinical trials. Their research teams manually screened thousands of electronic health records (EHRs) to identify eligible patients, an error-prone, slow process causing low enrollment and high administrative burden.
Business Challenges
The client needed to scale trial recruitment but faced three critical bottlenecks:
Manual Screening Delays
Clinical staff spent 15–20 hours per week reviewing EHRs for a single trial, leading to missed patient matches and slow enrollment.
Complex Data Fragmentation
Eligibility criteria involved unstructured clinical notes, lab results, and medication histories scattered across incompatible systems.
Regulatory Compliance Risks
Any automated solution required strict HIPAA compliance, audit trails, and physician oversight—barriers that stalled prior tech initiatives.
Our AI Pod-Led Solutions
We at Netsmartz deployed a specialized healthcare AI Pod with clinical data scientists, NLP engineers, and compliance experts to build a secure, physician-assisted matching system.
Clinical NLP for Eligibility Automation
The Pod built a BERT-based NLP model to extract and interpret eligibility criteria from trial protocols and match them with structured and unstructured EHR data.
HIPAA-Compliant MLOps Pipeline
We implemented an on-premise MLOps environment with encrypted data pipelines, role-based access, and full audit logging, ensuring PHI security & regulatory adherence.
Physician-in-the-Loop Dashboard
Designed a dashboard that presented AI-matched patients with explainable reasoning, allowing oncologists to review and approve matches before outreach.
Results & Achievements
Tech Stack Used
NLP & Modeling
Data & Security
MLOps
Frontend
Key Takeaway
By combining clinical expertise with compliant AI engineering, the Netsmartz AI Pod transformed a manual, tedious screening process into a scalable, accurate, and trustworthy system. This ultimately accelerated trial timelines without compromising physician oversight or regulatory standards. Ready to bring your healthcare AI ideas to life within just 90 days?
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