DecisionView Looks to Help Speed Up Pharmas Painfully Slow Trials

▤ Summary

If a San Francisco-based software company called DecisionView is successful, it could end up teaching Big Pharma some powerful lessons about real-time data analytics, which could in turn enable drugmakers to get more of its studies done on time and budget.The report, which encompasses 730 trials conducted between 2005 and 2011, sums up data on patient enrollment at 35,000 clinical sites, across 14 different disease categories, in 85 countries.By drilling deeper into data on enrollment patterns of trials, site by site, disease by disease, and comparing each study’s performance to the data in the report, DecisionView is betting that pharma companies will be able to make mid-stream adjustments to trials that can keep studies from dragging on and wasting too much money.It’s a huge industry bugaboo, as an estimated 94 percent of industry-run trials finish behind schedule, and sponsors are said to lose an average of $8 million a day when a drug’s arrival on the market is delayed.The idea at DecisionView is all about helping companies do a better job of planning the fastest, best possible trial of, say, a new rheumatoid arthritis drug at 100 sites around the world—and then make sure that such a train and all its moving parts remains on track.

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