-AMAZONPOLLY-ONLYAUDIO-START-ComputerTalk’s Will Lockwood checks in with Trygve Anderson, Elsevier VP of commercial pharmacy, about drug price analytics and the dynamics of drug price data.-AMAZONPOLLY-ONLYAUDIO-END-
ComputerTalk: How does the reality of drug price changes differ from the conventional wisdom?
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Trygve Anderson:
We discovered that 4.5 million price changes were processed in 2018, including all publicly available price types. If we break that down a bit, that means on average there were more than 12,000 price changes every day.
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[infogram id=”202004-elsevier-content-graphic-1hke60dyjy1e25r” prefix=”gMm”]
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As we dug into the data, we also discovered another surprising fact. Historically, January 1 has long been assumed to be the busiest day of the year for drug price changes. It isn’t! We found the busiest day is March 1. The next two busiest days by volume were June 1 and September 1.
One interesting point is that price changes often fell on a Saturday — a traditional non-business day for many companies.
Our study shows that 28% of all drug price changes occur Friday through Sunday. When we factor in that approximately 70% of all price changes arrive after 3 p.m., the Friday price changes are essentially weekend changes. This point represents over 2 million price changes occurring on the weekend and on holidays.
ComputerTalk: What’s the impact for pharmacies, when they can’t keep up with price changes?
Anderson:
ComputerTalk: How does Elsevier help pharmacies create a toolbox to address price changes?
Anderson:
With ProspectoRx you have immediate access to important pricing data. Our intuitive user interface provides a quick way to build queries into the pharmaceutical industry from the simple to complex. You can save those personalized queries for efficiency and consistency or export the result of your queries for any and all analytics to expand business intelligence capabilities and drive better and more informed pricing decisions.
The Predictive Acquisition Cost (PAC) methodology helps you operate in a complex environment by offering turnkey solutions for solving common drug pricing analytic problems. Using predictive analytics, PAC can provide insight into a drug’s true acquisition cost by establishing a pricing range to help determine the performance of pricing contracts, control costs, solve pricing challenges, and guide reimbursement rates. CT
For more information go to www.elsevier.com/clinical-solutions/drug-information or speak to a drug information specialist. You can also listen to the Elsevier Drug Information Podcast Series at .
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This interview was converted to audio and red on behalf of ComputerTalk and Elsevier by Amazon Polly.
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