Case Studies
Overview
Context
Challenge
Testimonial
Contribution
Impact
Why It Matters?
Overflow
Information Technology & Services

From Records to Research Value

Converting complex clinical archives into usable data for faster decision-making.
GenAI
Clinical Data
Automation
Consent Governance

From archive to asset

The client had a 100k+ archive of informed consent records linked to high-value clinical biosamples, but reuse permissions were buried in complex legal and clinical language.

‍

Hybrid Mind helped turn that static archive into structured, Al-searchable consent data - giving scientists and governance teams a faster, more defensible way to identify which samples could be reused for future research.

Hybrid Mind Delivered

Results: Hybrid Mind turned a 100,000+ record consent archive into a searchable, governedworkflow for research-ready biosample identification. Project reporting showed review effort moving from hours per document to minutes, while model accuracy improved from a 60-70% POC baseline towards 90%+ performance on key outputs.

REVIEW SPEED
Hours to mins
Review cycle accelerated
KNOWLEDGE BASE
100k+
ICF archive made Al-searchable
OUTPUT ACCURACY
90+%
Accuracy uplift on key outputs

Turning consent complexity into research-ready data

Hybrid Mind created a governed Al workflow to extract consent rights, validate outputs and make large-scale biosample reuse decisions faster, searchable and more defensible.
01
The client problem
A 100k+ archive of ICF records contained valuable consent permissions buried in complex legal and clinical language, making biosample reuse slow and difficult.
02
The Hybrid Mind solution
Hybrid Mind used LLM-based extraction, prompt chaining, and rule-based validation to convert consent records into structured, Al-searchable metadata with confidence scoring.
03
The business outcome
The workflow improved model accuracy from 60-70% to 90%+, reduced review time from hours to minutes, and enabled faster identification of research-ready biosamples.

What this enabled

100k+ consent records made Al-searchable for reuse decisions.
ICF review accelerated from hours per record to minutes.
Reduced reliance on costly manual or outsourced codification.
Confidence-led expert review for audit-sensitive decisions.

Delivery components

Claude LLM via AWS API | Python | Domino | Few-shot prompting | Prompt chaining | Rule-based post-processing | Ground-truth validation | Confidence scoring | Business-rule codification

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