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.
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.
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:
- “I am frustrated with the surveillance practices we have or the lack of them. It’s too cumbersome and too much work.”
- “What we do or don’t do is risky – but I can’t say that out loud.”
- “I hate the flat reports we get that make it impossible to interpret the data.”
- “I have to go to multiple sources to get the right data, and then I have to merge it.”
- “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.”
- “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.”
- “No one understands what the data really means – isn’t there enough to do without having to sit and look at numbers?”
- “I have no in-house expert to tell me how to do this – it’s not iterative or intuitive.”
- “There are too many people trying to do data surveillance on the PV data…too many cooks in the kitchen.”
- “We have a solution, but it’s terrible.”
- “Our solution creates too much noise.”
- “I need something I can share across multiple groups that everyone’s going to understand.”
- “What good does it do to look at stale data? I can’t change what happened last month.”
- “My data needs change, and I can’t get the right data half of the time; no one listens to me.”
- “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.”
- “We aren’t supposed to do trending in Excel…where data might be corrupt.”
- “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.”
- “I wish I had something that did what I actually need.”
- “The other solutions we’ve tried to take a Nobel Prize in IT to navigate through, and it takes forever to get an answer.”
- “Everyone is running different reports, and none of the data in them matches.”
- “I know data surveillance is essential, but I have tons of other stuff I have to do.”
- “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 firstname.lastname@example.org.