By A Staff Writer Ensuring Drug Safety Post-Approval with AI-Driven Surveillance.
AI-powered patient safety monitoring involves analyzing post-market surveillance data, real-world evidence, and patient feedback to detect and report adverse events related to medications. This early detection helps biopharma companies respond quickly to potential safety concerns, maintaining patient safety and regulatory compliance.
How to Do It?
- Collect real-time data from patient feedback, EHRs, and social media regarding drug usage and side effects.
- Use NLP and machine learning algorithms to analyze data for signs of adverse reactions.
- Implement AI systems to flag potential safety issues and generate reports for regulatory agencies.
- Monitor the AI model’s performance and update it based on new data for continuous improvement.
- Integrate feedback loops from healthcare providers to enhance monitoring accuracy.
Benefits:
- Enhances patient safety through early detection of adverse drug reactions.
- Streamlines the reporting process for regulatory compliance.
- Reduces the risk of large-scale recalls by addressing issues proactively.
- Builds patient trust in the safety of medications.
Risks and Pitfalls:
- High reliance on accurate and timely data collection.
- Potential false positives or negatives that could affect decision-making.
- Data privacy concerns related to the collection and analysis of patient information.
Example:
Novartis’s AI-Powered Safety Monitoring
Novartis employs AI tools to monitor adverse events from patient feedback and medical reports. The system analyzes vast amounts of post-market surveillance data to identify safety signals and alerts the company to potential issues. This proactive approach ensures that Novartis maintains high safety standards and adheres to regulatory requirements.
Remember!
AI in patient safety monitoring enhances the ability of biopharma companies to detect adverse drug reactions early, safeguarding patients and maintaining compliance.
Note: For more Use Cases in Bio Pharma and Generics Manufacturers, please visit https://www.kognition.info/industry_sector_use_cases/bio-pharma-and-generics-manufacturers/
For AI Use Cases spanning functional areas and sectors visit https://www.kognition.info/functional-use-cases-for-enterprises/