Artificial Intelligence–Driven Approaches to Enhance Policy and SOP Structure in Tct Programs

Abstract

AI has generated significant excitement for its potential to enhance efficiency; however, practical implementation has posed challenges across many business settings. Within the apheresis program, AI was leveraged to create a standardized framework that transformed 42 non-compliant SOPs into 18 streamlined, compliant documents in just 10 days. • Establish a standardized framework for policy and SOP development to replace outdated and fragmented documents. • Utilize artificial intelligence (AI) as a structural tool to generate templates and a master table of contents to streamline document organization. • Improve efficiency and consistency in SOP development while ensuring accuracy, completeness, and regulatory compliance through medical director and quality oversight. To address deficiencies, a structured document redesign process was implemented. An AI tool was used to generate compliant templates and a master table of contents to guide restructuring. This framework was applied to consolidate 42 non-compliant SOPs into 18 streamlined documents. Each SOP was revised for accuracy, logical flow, and alignment with regulatory standards, while redundancies were eliminated under medical director and quality oversight. Within 10 business days, the apheresis department's SOP library was reorganized. The resulting documents met accreditation standards and required minimal revisions. Inspection outcomes showed that the new framework improved clarity, consistency, and accessibility for staff, while strengthening compliance. Leveraging AI-generated templates as structural tools enabled rapid redesign and consolidation of SOPs into a streamlined, compliant framework within 10 days. This approach enhanced oversight, reduced redundancy, and demonstrated measurable impact during inspection.

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