Deep 6

Deep 6 AI uses AI and natural language processing (NLP) to streamline patient recruitment for clinical trials by analyzing electronic medical records (EMRs). Its platform allows hospitals and researchers to identify eligible participants faster, reducing costs and accelerating the clinical trial process.

Business problem

Patient recruitment delays are a major bottleneck in clinical trials, often due to slow, manual processes that can take months. These delays increase trial costs and extend timelines, impacting the speed at which new treatments reach the market. Deep 6 AI seeks to address these issues by automating and accelerating patient identification through AI.

AI solution

Deep 6 AI’s platform integrates AI and NLP to analyze EMRs, allowing real-time identification of eligible patient cohorts. It connects over 1,000 research facilities, offering visibility into patient pools and enabling rapid, accurate recruitment that enhances diversity and efficiency.

Implementation challenges

Integrating Deep 6 AI into clinical trial workflows requires addressing challenges such as ensuring compatibility with diverse EMR systems and standardizing data formats across facilities. The platform must balance advanced AI capabilities with ease of use for clinical staff while maintaining strict compliance with data privacy regulations like HIPAA and GDPR. Additionally, ensuring reliable patient identification across varying data quality and completeness in EMRs demands continuous algorithm refinement and validation.

Results

Deep 6 AI’s platform has reduced recruitment timelines from months to weeks, cutting trial costs and accelerating the path to market for new treatments. Its collaborative ecosystem improves data sharing and coordination, while expanded access to patient pools supports more inclusive and efficient clinical research.