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Drugdevelopment is already a difficult endeavor, with the vast majority of R&D efforts failing to produce a market-worthy product. Even reaching the clinical trial phase offers no guarantees, as only 12% of such drugs receive U.S. While this process is essential, it’s also slow, expensive and unpredictable.
Many practitioners have expressed the feeling that EHRs cause far too much of their time ultimately being spent on dataentry. Phones and similar devices now have the power and communication abilities to monitor an individual’s vitals and be an access point for both inputting and retrieving data.
Clinical trials are the engine for pharmaceutical innovation, but their means of capturing and communicatingdata are stuck in the past. While many pieces of the drugdevelopment process have digitised to keep pace with the speed of technological advancements, clinical trials continue to lag amidst pharma’s digital transformation.
Data integrity is the term used to describe the accuracy, consistency and reliability of data throughout its lifecycle. In the pharmaceutical/life sciences industries, maintaining data integrity is crucial given its role in making critical decisions that shape outcomes from drugdevelopment to human health.
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