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- 4 July 2016 09:28
cohortiQ wins NSW iAward with Patient Centric Cohort Analysis
CohortiQ announced today that it has won the NSW Big Data Innovation of the Year award presented by the Australian Industry Innovation Association during the NSW iAwards Gala held in Sydney on 30 June, 2016.
cohortiQ were recognised in three categories for the prestigious iAwards with their Patient Centric Cohort Analysis and as winners of the Big Data category will proceed to the National awards held in Melbourne on September 1.
“It’s exciting to be recognised for the innovative work we’re doing to improve long term patient outcomes while helping hospitals become more efficient – It’s a win for both!” commented John Bickerstaff, CEO of cohortiQ.
By identifying patterns in each patient’s timeline, the cohortiQ platform enables hospitals to target care where it is needed most. Hospitals are rich sources of data, but they have been lagging in the take up of advanced analytics and machine learning. Taking proven techniques from other fields and tailoring them to work in the complex hospital environment is key to a sustainable health service.
Every year Australian Hospitals have over 450,000 avoidable adverse events and 250,000 avoidable admissions. Cohorts of patients identified through machine learning are an excellent way for hospitals to gain the insight required to make service improvements to avoid these events occurring.
cohortiQ have rapidly made progress with patient centric cohorts after winning the nationwide 2015 DataStart competition sponsored by the Office of the Prime Minister and Cabinet. This resulted in an injection of seed capital from two venture capitalists and support from organisations such as Pollenizer and Data61 making them one of the most exciting health-tech startups of the year.
cohortiQ are presently working with a network of hospitals in regional Victoria to further refine their product which they intend to take nationally before exploring overseas markets. “The problems we address are universal in hospitals throughout the world. They are data rich but information poor due to the complexity and fragmentation of their data. By delivering targeted insights rather than more reports, hospital staff are empowered to make evidence based decisions that were previously too difficult to find”.
Try Patient Centric Cohort Analysis today
Hospitals that want to try cohort analysis should visit http://www.cohortiq.com and register their interest. Alternatively, they can send an email to email@example.com directly.
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