Life Sciences

22 Reasons To Attend Thursday’s Pharmacovigilance Surveillance Webinar


The challenge with all pharmacovigilance and safety surveillance is that it’s quite complicated. There is a lot of data and very few technical solutions that make analyzing safety data relatively simple. That’s where Perficient comes in.

Life Sciences - How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process
How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process

This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.

Get the Guide

Join me, Kari Blaho-Owens, Ph.D., Director of Pharmacovigilance and Safety, Perficient, on February 6, 2020, at 10 AM CT, for a webinar titled “Raise the Bar With Real-Time Pharmacovigilance Surveillance” in which I’ll give a demonstration of PV Hawk, a risk management tool that gives you quick access to aggregate data for the meaningful analysis of AE and PQC data — all in real-time and across all of your safety surveillance practices and interested parties.

This webinar (and PV Hawk) is for you if you catch yourself saying any of these 22 things:

  1. “I am frustrated with the surveillance practices we have or the lack of them. It’s too cumbersome and too much work.”
  2. “What we do or don’t do is risky – but I can’t say that out loud.”
  3. “I hate the flat reports we get that make it impossible to interpret the data.”
  4. “I have to go to multiple sources to get the right data, and then I have to merge it.”
  5. “If I have to look at another Excel sheet of data from the database and try to make a pivot table with it, I will lose my mind.”
  6. “I have to run cumbersome reports in the database, and I hate it; it takes too much time and the reports don’t work half of the time.”
  7. “No one understands what the data really means  – isn’t there enough to do without having to sit and look at numbers?”
  8. “I have no in-house expert to tell me how to do this – it’s not iterative or intuitive.”
  9. “There are too many people trying to do data surveillance on the PV data…too many cooks in the kitchen.”
  10. “We have a solution, but it’s terrible.”
  11. “Our solution creates too much noise.”
  12. “I need something I can share across multiple groups that everyone’s going to understand.”
  13. “What good does it do to look at stale data? I can’t change what happened last month.”
  14. “My data needs change, and I can’t get the right data half of the time; no one listens to me.”
  15. “I need an easy solution with graphics where I can explain the AE data. I can explain it to multiple groups, from my intake group to executive management, who want to know the risk profile of a profile before marketing goes on some campaign to advertise my products without telling pharmacovigilance.”
  16. “We aren’t supposed to do trending in Excel…where data might be corrupt.”
  17. “I need to share stuff, and I can’t share pivot tables that I’m not really confident in because I can’t admit I don’t know how to really use Excel.”
  18. “I wish I had something that did what I actually need.”
  19. “The other solutions we’ve tried to take a Nobel Prize in IT to navigate through, and it takes forever to get an answer.”
  20. “Everyone is running different reports, and none of the data in them matches.”
  21. “I know data surveillance is essential, but I have tons of other stuff I have to do.”
  22. “Why is surveillance of PV data so hard? It shouldn’t be this hard.”

So, to learn how to raise the bar with real-time pharmacovigilance surveillance, register for the upcoming webinar. If you have any questions in the meantime, feel free to reach out to me at

About the Author

Kari Blaho-Owens, Ph.D., received her graduate degree in pharmacology and clinical therapeutics from LSU Medical Center in New Orleans, Louisiana, US. She was the Research Director and clinical toxicologist consultant in an inner-city Emergency Department at UT College of Medicine and has spent much of her career in the life sciences industry working for pharmaceutical and device companies, as well as CROs. She also served as the global head of PV at a major company. Kari is currently the head of PV at Perficient, where she leads a team that implements fit-for-purpose technology solutions and provides pharmacovigilance consulting. She is also a peer reviewer for the DIA.

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