Data Accuracy: The Soft Underbelly of Smart Software
May 3, 2019
Whatever the popular trend is in technology, there are always guides on how to strategize the best implementation plans. Most of these articles beat down to the same rules of keeping it simple and learning from past mistakes. Healthcare IT News has another guide in relation to AI, “Implementation Best Practices: Dealing With The Complexity Of AI.”
This particular AI implementation acts the same by stating several experts were consulted for their advice. The big difference is this information is not printed as an actual list. The first piece of advice tells people to read use cases of other AI implementation projects to learn about how it is used in their particular industries. The first piece of advice also urges people to work with their end users to guarantee that an AI system will work to serve their needs. It is not uncommon for many organizations to implement a new technology without consulting those who end up using it everyday.
Elaboration on the first piece and the second piece of advice are basically the same thing: know what your goals and end results need to be. The third piece of advice is about focusing on outcomes:
“When implementing AI technology, the focus should be on outcomes, said Lois Krotz, research strategy director at KLAS Research, a healthcare IT research and consulting firm. “From numerous conversations with provider CIOs and vice presidents of technology: They like the idea of using AI but are unsure how to, and what results could be driven from the solution,’ she said. ‘Set goals and make sure you have ways to benchmark the success of the AI solution – know how long it will take to see an outcome.’”
How is that smartware doing with the hate speech and extremist vides? Tweet storms of questionable factoids?
Whitney Grace, May 3, 2019
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