DocEX – CLINICAL RESEARCH DATA STRUCTURING

DocEX transforms fragmented clinical trial data into regulatory-ready, structured intelligence. Using AI-driven entity extraction and medical ontology mapping, it standardizes 10+ years of unformatted research data in days instead of weeks. The solution drastically reduces manual effort and errors while improving audit readiness. Built for scalable clinical analytics, compliance, and evidence-backed decision-making.

**Category:** Life Sciences Document Processing | **Industry:** Pharma/Biotech

Artificial Intelligence (AI) is revolutionizing industries worldwide, from healthcare to finance. Businesses are rushing to adopt AI to enhance operations, gain insights, and improve decision-making. However, many are discovering a critical issue: without strong governance, AI initiatives can quickly fall short of their potential.

AI governance is the secret ingredient that helps businesses unlock AI’s full power while ensuring security, compliance, and ethical use. In this blog, we’ll explore why governance is vital to your AI strategy and how it can help businesses avoid the pitfalls of AI implementation.

The Challenge

Client maintained 10+ years of clinical trial data in scattered, unformatted Excel files—no standardization, inconsistent definitions, poor regulatory readiness. Manual processing took **weeks** and error rates were high (8-12%).

Solution: DocEX

AI-driven NER + ontology-based data extraction and structuring engine converting raw research into regulatory-ready format.

 

## Core Capabilities

 

– **Clinical NER:** Auto-extract dosages, demographics, efficacy %, study methods

– **Ontology Mapping:** Link entities to medical taxonomies (RxNorm, SNOMED-CT, MedDRA)

– **Study Outcome Matrix:** Build structured outcome tables per trial

– **Ingredient-Condition Mapping:** Generate formulation recommendations based on clinical evidence

 

## AI/ML Components

 

– **Named Entity Recognition:** Extract clinical terms, dosages, demographics

– **Ontology Matching:** Map to medical standards and taxonomies

– **Study Outcome Matrix:** Structured clinical data compilation

– **Efficacy Scoring:** Evidence-based formulation recommendations

Deliverables

– **Standardized Excel + JSON repositories** with normalized schema

– **Research-backed formulation recommendations** with dosage ranges

– **Traceability** with confidence scores per extracted field

Business Impact

| Metric | Before | After | Improvement |

|——–|——–|——-|————-|

| Doc Cycle | 15-20 days | 2-3 days | **85% faster** |

| Data Entry Errors | 8-12% | <0.5% | **99% reduction** |

| Regulatory Prep | Weeks of rework | 3-5 days ready | **Audit-ready** |

| R&D Iteration | 2-3 weeks | 3-4 days | **80% faster** |

Key Outcomes

✓ **85% faster documentation cycles**

✓ **Regulatory-submission ready structures**

✓ **Strong proof base** for marketing & compliance positioning

✓ **Scalable to formulation decision-making**

Conclusion: Ready to Unlock AI’s Full Potential?

AI is the future, but without strong governance, it can also be a source of risk. By embedding governance into your AI strategy, you can ensure that your AI projects remain secure, compliant, and scalable. The benefits of AI governance are clear: it builds trust, drives innovation, and unlocks AI’s full potential for your business.

If you’re ready to explore how AI can transform your business without the headaches of compliance and security risks, get in touch with FEDER8 today. We’re here to help you unlock the full potential of AI with the power of good governance.

Need help implementing AI in your industry?

Contact FEDER8 to learn how our AI governance solutions can drive innovation in finance, healthcare, retail, and beyond.
DocEX transforms fragmented clinical trial data into regulatory-ready, structured intelligence. Using AI-driven entity extraction and medical ontology mapping, it standardizes 10+ years of unformatted research data in days instead of weeks. The solution drastically reduces manual effort and errors while improving audit readiness. Built for scalable clinical analytics, compliance, and evidence-backed decision-making.