What’s Next? – in Drug safety and Pharmacovigilance
Healthcare is evolving, so is Pharmacovigilance. The focus is now shifting from primarily safety operations to proactive risk management, personalised medicine, and completely transparent data between pharma, patients, healthcare providers and regulatory agencies.The expected trends are interesting and for those interested in making a career in Safety and Pharmacovigilance, the pointers below would be helpful when mapping out your long term plans. Let’s dive in.
Increased Capability of Safety Databases
With the overwhelming influx of safety data – due to increased volume of adverse events it’s expected that more than 80% of the top 100 pharma companies will initiate a re-examination of their safety platforms and supporting technologies in the next few years. The PV industry is recognizing their aged, inflexible technology can’t meet the growing needs. It can be predicted that the newer versions of Argus and ArisG are better equipped in providing a comprehensive case assessment in an organised, automated manner – for peak efficiency.
Artificial Intelligence and Pharmacovigilance
With the right analytics of AI – we are looking at early detection, implementation of quick remediation, and actually changing the paradigm of the adverse event profile through public health communication of the drug, its use, and set expectations based on clinical data in Drug safety and Pharmacovigilance. Early risk detection, better signal mapping and quality check are few of the many areas which will push the Pharmacovigilance sector into one of the fastest growing life science disciplines.
Workflow states – Now
The adverse events are reported from various sources. From social media to medical device wearables to patient centric direct expedited reporting; the new technology assures to support Pharmacovigilance and regulatory compliance processes in ways that weren’t comprehensible a decade ago, which will be vital to the success of all pharma and biotech companies. This would reduce the manual labour that is required to manage all the data that needs to be processed, sorted, and shared. Technology is supporting the evolution of the structure of the workflow states in a better way. This will no doubt help transform healthcare for the digital era.
