Deloitte has released a big-data analytics tool called PopulationMiner that it co-developed with Intermountain Healthcare, a provider organization based in Utah.
Big-data product PopulationMiner lets healthcare organizations and drug companies design hypotheses by looking at patient populations.
Instead of analyzing how a wide range of factors might have led to the outcomes of certain patients, PopulationMiner provides a broad population view that helps users decide what questions to ask about the relationships between treatments and outcomes.
Deloitte and Intermountain are targeting both healthcare organizations and pharmaceutical companies with PopulationMiner. In addition, the partners hope that the analytics tool will help providers and drug companies work together more closely to develop new medications and improve the use of existing ones.
"By providing the same tool to the provider and to the life sciences company, they can start collaborating in a much more meaningful way than before," said Asif Dhar, health informatics managing director for Deloitte, in an interview with InformationWeek Healthcare.
The analytics can help pharmaceutical companies identify patient cohorts they'd like to target in studies, he noted. The press release about the product launch clarified this point: "PopulationMiner can also produce hypotheses across complex, comorbid patient populations and a pathway for conducting follow on research with the same populations."