RAVINDER BHATTU

• Led AI-powered adverse event detection system implementation, collaborating with data scientists and IT teams.
  •Implemented an AI-driven case triage system, reducing case processing time by 15% and enhancing drug safety team efficiency.
  •Defined business requirements for integrating clinical trials, post-marketing surveillance, and social media data into predictive safety analytics.
  •Led UAT and compliance validation for AI-based pharmacovigilance solutions, improving detection efficiency by 25%.
  •Provided strategic insights on digital transformation, accelerating automation adoption in pharmacovigilance operations.
  •Developed an AI-driven literature screening process using NLP, increasing potential safety signal identification by 20%.
  •Created an augmented reality (AR) module and virtual reality (VR) training simulations, enhancing safety awareness and preparedness.

• Designed a Pharmacovigilance Data Analytics and Visualization Dashboard for real-time safety signal tracking.
  •Piloted an IoT-based patient monitoring program, leveraging wearable devices for early adverse event detection.
  •Integrated cloud-based data management solutions to enhance adverse event reporting accuracy.
  •Led the integration of safety data with EHRs, improving accessibility and patient safety.
  •Launched a mobile health (mHealth) app for patient-reported adverse events, increasing engagement and real-world data collection.
  •Researched blockchain applications for secure pharmacovigilance data sharing, enhancing transparency and regulatory reporting.
  •Applied machine learning for signal detection, improving early risk identification by 10%.

• Implemented an automated adverse event case processing system with IT vendors, reducing manual data entry errors by 20%.
• Defined business rules for AI-driven case processing, enhancing accuracy and compliance.
• Developed training materials and conducted workshops on IT-enabled drug safety platforms.
• Assisted in developing a digital patient support program, improving adherence monitoring and engagement.
• Evaluated wearable devices for adverse event monitoring, exploring real-time data collection benefits.
• Implemented a remote patient monitoring program for continuous safety parameter tracking.

•Processed and validated individual case safety reports (ICSRs) in cloud-based pharmacovigilance databases.
• Conducted quality checks on AI-processed adverse event data to ensure regulatory compliance.
• Validated MedDRA coding for adverse events and automated data integrity checks.
• Supported telemedicine platform implementation for remote safety follow-ups, improving access to care.
• Contributed to the development of a patient registry for long-term safety monitoring and post-market surveillance.