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Robotic Process Automation Fixes Mistakes in Clinical Data Entry

Previously, I discussed life science subject screening and how robotic process automation can assist. This next installment of the series dives into robotic process automation (RPA) fixing mistakes in clinical data entry. Dirty clinical data is one of the most costly aspects of clinical trials. Not only does the review and clean-up slow down time […]

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How To Fix Clinical Data Entry Mistakes At Clinical Sites

Dirty clinical data is one of the most costly aspects of clinical trials. Not only does the review and cleanup slow down time to market and increase development costs, dirty data can stall or even kill a new drug application (NDA). Consistently receiving dirty data from sites can seriously damage a sponsor’s or contract research […]

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