In healthcare, developing strong patient diagnosis and treatment recommendations takes time, resources and data. As patient data grows at an exponential rate, comprising an expected 25,000 petabytes in 2020, healthcare organizations are faced with the challenge of extracting and uncovering the value in their patient information. Unfortunately, 80% of patient data is unstructured in form, and inaccessible without a cognitive computing platform.
In the third installation of our “Understanding Healthcare’s Data Problem” series, here’s a fun way to grasp the challenge organizations face on a daily basis, in driving strong outcomes with limited data. Can you guess the album covers, with only a portion of them exposed?
How’d you do with just 20% of the data?