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Archi-Tech Unveils DART LRx

Published: October 1, 2007

DART LRx enables pharmaceutical sales and marketing teams to better manage and analyze longitudinal prescriber-level data.

Archi-Tech Systems, a provider in pharmaceutical data analysis and reporting solutions, recently announced the availability of DART LRx, enabling pharmaceutical sales and marketing teams to better manage and analyze longitudinal prescriber-level data, also known as de-identified or anonymized patient data. DART LRx is part of Archi-Tech’s flagship DART (Data Analysis & Reporting Tool) product line, offering instant, in-depth analytics and reporting on pharmaceutical sales, marketing and managed care data.

“Longitudinal data provides insight into prescriber trends like never before – yet it is often difficult to manage and use due to its incredibly high volume and complexity of detail. As a result, many companies are wary of investing in the data without fully understanding the value it can deliver,” said Paul Gray, President of Archi-Tech. “With DART LRx, pharmaceutical companies can truly master the data, and determine how to optimize it for a distinct competitive advantage.”

DART LRx integrates, compresses, and indexes longitudinal data, including NRx, TRx, volume percentage change, market share, and more, from any source, across multiple years and multiple measures, in a single view. This offers a fully interactive query environment for unlimited searching, reporting, and graphing capabilities for any configuration of data, across any parameter. As a result, sales, marketing, and branding teams can more easily analyze prescriber habits and switching patterns, compare new-to-brand and NRx deciles, review concomitant vs. single drug prescriptions, and access a range of other details across the prescription lifecycle – all without compromising patient privacy. This enables quick decision making, improves strategic planning, and maximizes budget allocation through enhanced sales targeting, brand performance tracking, physician segmentation and sampling and more.