| ||||
| ||||
![]() Title:A AI-Driven Document Builder for Standardized Clinical Studies Conference:IEEE CBMS 2026 Tags:Clinical Documentation, Health Informatics, Large Language Models, Multi-Centre Studies, Retrieval-Augmented Generation and Standard Operating Procedures Abstract: Standard Operating Procedures are essential instruments for ensuring consistency, regulatory compliance, and data quality in clinical research. Despite their recognized importance, SOP authoring remains a largely manual, unstructured process with limited tooling for systematic, multi-centre creation. This paper proposes WizarDoc, a modular, AI-assisted questionnaire-driven web application designed to streamline the production of SOP-aligned clinical study documentation. WizarDoc combines reusable template pools (governed question sets plus DOCX layouts) with a step-by-step wizard that dynamically generates contextual questions and AI-driven answer suggestions via a Retrieval-Augmented Generation (RAG) pipeline grounded in authoritative clinical standards. Captured identifier-keyed responses are exported as populated DOCX documents. The tool is publicly available at https://github.com/ieeta-mith/wizardoc. A AI-Driven Document Builder for Standardized Clinical Studies ![]() A AI-Driven Document Builder for Standardized Clinical Studies | ||||
| Copyright © 2002 – 2026 EasyChair |
