An important start for modernizing safety operations is the need for a step-wise approach. Some may consider pharmacovigilance to be a commodity, with case processing and signal detection/management as necessary, rote processes. This mindset can result in a lesser focus on innovation. There are, however, steps that can be taken to optimize pharmacovigilance operations and maximize patient safety.
Artificial intelligence (AI) and machine learning (ML) are two areas of focus for improving pharmacovigilance processes. Regulatory bodies have also shown a willingness to encourage these advancements. There are four essentials to modernizing your pharmacovigilance services.
UBC’s approach to Safety and Risk Management stems from our epidemiological, multidisciplinary foundation. Our commitment to Patients First has driven us to balance high-tech solutions with a personalized, experienced touch in our services. To start a discussion around our Safety and Epidemiology Consulting, Pharmacovigilance, or REMS services, click here.
About the Author
Michael Bulgrien is a Data Analytics Project Manager at UBC. With over 21 years of experience in healthcare software, Michael applies his healthcare data analytics expertise to designing and implementing code-based algorithms that utilize administrative claims, EMR, and spontaneous adverse event reporting data sets.