FIVE MINUTES WITH ...
biased and we need to determine what causes this . Actium Health looks to see if the bias is embedded into any predictor that we ' re using or is there an overall bias , just based on the imbalance of the dataset . Once we have run these tests and are able to confirm we make interventions such as adjusting thresholds of the algorithm across racial groups or adjusting the types of predictor variables that we use to make sure that we eliminate that bias .
Q . WITH BOTH EXPERIENCE IN THE HEALTHCARE INDUSTRY AND WITH AI , WHAT BENEFITS DO YOU THINK INCORPORATING THIS TECHNOLOGY INTO HEALTHCARE BRINGS ?
» One benefit is the ability to be able to measure disparities . If you want to make sure that you ' re being racially equitable and balanced well , using these algorithms allows you to make sure that you ' re providing equitable outreach to the broad market . That ’ s an important one to focus on , the potential to eliminate or remove all kinds of biases . These biases can include race , gender , age and sex .
Q . IN WHAT WAYS DO YOU EXPECT ACTIUM HEALTH TO UTILISE AI-POWERED TECHNOLOGY IN THE FUTURE ?
» We keep a close eye on the type of algorithms that are being developed . In recent years , there have been some really powerful advancements in terms of content development and in terms of what we can learn based on how people interact with content and things like that . I see the future of Actium Health kind of keeping this process of being really tied to our product team and our customer success group , so we
24 December 2021