htlin222

Automated KFSYSCC IRB document preparation — 43 forms, 11 categories, one command. Because your time is better spent on science, not paperwork.

11
4
100% credibility
Found Apr 01, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Tool for automating the creation of 43 specific IRB submission forms required by Koo Foundation Sun Yat-Sen Cancer Center, generating customizable Word documents from study details in a simple settings file.

How It Works

1
📖 Discover IRB Helper

You hear about a handy tool that turns your research notes into ready-to-use hospital review forms, saving hours of copying and pasting.

2
📝 Enter Study Details

Type in simple info about your study like the title, dates, team members, and patient numbers – just like filling a short form.

3
Create All Forms

With one click, it automatically picks and fills the exact forms needed for your study type, making perfect Word files.

4
👀 Preview Everything

Quickly check colorful previews and a checklist to see your forms look professional and complete.

5
✍️ Add Signatures

Print or edit to add your signature and any personal notes, then you're set.

🎉 Submit and Save Time

Email the bundle to the review board, celebrate the hours saved, and dive back into your important research.

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AI-Generated Review

What is irb-in-hurry?

This Python tool automates IRB document prep for KFSYSCC hospital researchers, generating 43 forms across 11 categories like new cases, amendments, closures, and SAE reports. Edit a YAML config with study details—IRB number, PI info, type—and run one command like `make all` to output formatted Word docs, PDFs, PNG previews, checklists, and a dashboard. It handles smart routing, like auto-waiving consent for retrospective studies, so paperwork becomes automated drudgery instead of hours lost to checkboxes.

Why is it gaining traction?

It nails a hyper-specific pain: mindless IRB bureaucracy that steals time from science. Unlike manual templates or generic doc generators, it auto-selects exact forms by phase and study type, spits out pixel-perfect DOCX with KaiTi font and checkboxes, plus previews and a simulated reviewer for self-checks. Makefile-driven workflow keeps it dead simple—no Python scripting needed—while bilingual READMEs (EN/ZH-TW) make it accessible.

Who should use this?

Cancer center PIs and researchers at KFSYSCC filing new protocols, amendments, continuing reviews, or closures. Perfect for retrospective chart reviews or low-risk studies where you just need compliant forms fast, without learning curves or custom scripting.

Verdict

Grab it if you're in the KFSYSCC ecosystem—saves real hours despite 11 stars and 1.0% credibility score. Solid docs, 15 passing tests, and MIT license, but it's niche and young; test on a sample config first before production runs.

(198 words)

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