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See How AI Governs Donor Screening Decisions Across Your Plasma Collection Workflow
Summary:
Before a donor gives plasma, a staff member determines whether they are healthy enough to donate that day. Right now, that decision is made differently by different staff. No consistent regulatory logic is applied. No automatic audit trail is created.
Accelirate HLS Solutions introduces AI Plasma Decision Engine™, a governed decision layer that standardizes donor screening across your entire collection workflow without replacing your existing systems.
In this recording, Nisha Sonawane, RPA Automation Lead at Accelirate, and Paola Andrea Quiceno, UiPath Certified Automation Business Analyst, cover:
- Why inconsistent donor screening decisions create audit exposure
- How AI Plasma Decision Engine™ applies regulatory logic at the point of assessment
- What a governed decision looks like in a real plasma collection workflow
What you'll learn
- Why donor screening compliance breaks down at the staff level, even when policies are correct
- How AI Plasma Decision Engine™ enforces regulatory logic consistently across every site
- What "governed decisions" means for your frontline collection staff
- How to add a plasma collection AI layer on top of the systems you already run
Why this matters now
Plasma collection centers face increasing regulatory scrutiny. Inconsistent donor screening decisions, caused by staff turnover, shift variation, or missing documentation, are a frequent source of audit findings. AI Plasma Decision Engine™ is built for this problem: it standardizes how regulatory logic is applied at every donor assessment and synchronizes decisions across your existing systems in real time. Every decision produces a complete, traceable record.
Who it's for
- Operations directors at plasma and blood collection centers
- Compliance officers responsible for donor screening documentation
- IT leads evaluating blood collection automation for regulated workflows
- Quality assurance teams managing audit readiness for donor assessments
- Clinical and medical affairs staff overseeing regulatory compliance in plasma collection
What's being discussed
- The root causes of inconsistent donor screening decisions in high-volume collection centers
- How AI governance applies and enforces regulatory logic without manual intervention
- Real-time synchronization of donor screening decisions across existing center systems
- What audit-ready documentation looks like when every decision is governed by AI
- How Accelirate HLS built AI Plasma Decision Engine™ for plasma and blood workflows
Take a look
Watch the full recording: AI Plasma Decision Engine™.
Meet the Speakers
Nisha Sonawane
RPA Automation Lead, Accelirate HLS Nisha led the automation architecture behind AI Plasma Decision Engine™. She builds process automation solutions for regulated healthcare environments.
Paola Andrea Quiceno
UiPath Certified Automation Business Analyst, Accelirate HLS Paola designed the regulatory logic layer at the core of AI Plasma Decision Engine™. She turns compliance requirements into governed automation workflows.