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Tag: PLD

Data Mining Case Reaches the Supreme Court

Twenty years ago, IMS Health got the idea to purchase prescription records from pharmacies, license physician information from the AMA’s Physician Masterfile, and link the two databases so as to create something new and different: prescriber-level data (PLD).

It was a brilliant idea. Almost immediately, pharmaceutical and device companies, government analysts and public health officials began lining up to buy raw PLD and/or the reports that IMS created from it.

And with good reason. By applying statistical tools to analyze PLD (a technique known in the vernacular as “Data Mining”) IMS and the purchasers of its data could obtain fresh insight into many topics of interest. These include prescribing pattern variations across regions, where and when influenza outbreaks occur, how physicians respond to these outbreaks and hundreds of others. Drug makers found PLD information to be particularly helpful. With it, they could refine marketing pitches and improve sales force efficiency, among other things.

Since those early days, the scope of the data compiled by IMS and other PLD providers has expanded to a point where it is truly breathtaking. The AMA Masterfile includes current and historical data on 880,000 physicians. IMS and similar companies collect information on more than 70% of all prescriptions filled in the US. SDI Health, another PLD provider, has billing information from 100% of inpatient and outpatient activity at 500 hospitals dating back to 2002. Their databases are large enough to detect national trends and withstand the most exquisite stratification analyses. Furthermore, PLD providers have perfected ways to exclude information from their databases that could be used to identify patients, so the data comply with HIPAA and other privacy-protecting laws.

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