During my time as Director of Marketing and Clinical Team Lead at mpathic, I contributed to the development of custom AI monitoring systems for a major biopharmaceutical company conducting global clinical trials with hundreds of participants across the world. The project addressed critical FDA compliance requirements for bias detection and therapeutic fidelity monitoring in psychiatric drug trials, where maintaining consistent psychological support delivery and preventing therapist bias was essential for regulatory approval.

Our solution achieved a 600% increase in medical monitoring accuracy while enabling 100% session review (compared to the industry standard 10%). The system provided 75x faster review processes and 10x cost savings compared to traditional manual monitoring. I supervised data annotation teams of 12 annotators, established quality control processes, and collaborated with engineering teams to ensure AI systems met clinical standards and regulatory requirements.

This work demonstrated how responsible AI governance can be implemented at scale in regulated industries, balancing innovation with patient safety and regulatory compliance while ensuring AI systems enhanced rather than replaced human clinical judgment.

Key outcomes: Implemented responsible AI practices in healthcare, achieved significant improvements in clinical trial monitoring accuracy and efficiency, developed scalable approach for AI governance in regulated environments.

• Link: Read the full case study

• Skills demonstrated: AI system development, healthcare regulatory compliance, bias mitigation, quality control processes, clinical data governance