Big data and analytics are changing the way healthcare professionals make decisions about their patients and population. But how can the data be trusted to help make such critical decisions?
What problems do healthcare professionals have with analytics?
There can be many steps between raw data and a ﬁnal report. This can make it hard to be sure that the outputs are accurate and without bias.
One of the chief concerns is erroneous data.
Many data sources
Matching data between so many data sources can lead to question marks over data integrity and accuracy.
Failure to reproduce results
74% of researchers have tried and failed to reproduce another scientist's experiments.
Want to learn more?
In early 2017 the USACM issued a statement on Algorithmic Transparency and Accountability. Read it here.