Several strategies can enhance the accuracy and reliability of benefit-risk assessments:
Enhanced Data Collection: Improved data collection methods, including the use of big data and machine learning algorithms, can provide more accurate and comprehensive data. Stakeholder Engagement: Involving a diverse range of stakeholders in the decision-making process can help address subjective biases and ensure that multiple perspectives are considered. Transparency: Clear communication of the methods and assumptions used in the assessment can help build trust and facilitate public acceptance. Continuous Monitoring: Ongoing monitoring and re-evaluation of the risks and benefits can help adapt policies as new data become available.
