AI BriefingImproving Clinical Trial Patient Accessibility with AI
Key point
Paradigm adopted GPT-4 to increase the accuracy of clinical trial data extraction and dramatically improve patient accessibility.
Details
Clinical trials are a key process for discovering new treatments, but reviewing patients' medical records and matching them to suitable trials is extremely slow. Previously, specialized ML and NLP models for the medical field had to be built, trained, and validated individually for each case, requiring enormous time and cost.
Instead of the existing approach, Paradigm adopted GPT-4. Experimental results showed that GPT-4 outperformed teams of experienced experts in complex data evaluation tasks, and was more than 10% more accurate than existing state-of-the-art ML models.
Adopting GPT-4 delivered the following results:
- Faster data extraction: Building individual data elements now takes just days instead of months.
- Reduced validation costs: Cut the time required from medical professionals for model validation by 90%.
- Increased accuracy and efficiency: Accuracy improved by 10%, allowing medical staff to focus on patient care instead of paperwork review.
- Regulatory compliance: Met strict security and regulatory compliance requirements in the medical field, such as HIPAA.
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