Few can be unaware of the issues around the use of data-mining to attempt to identify individuals who have been overpaid from Government coffers.This is a good summary if you have not been paying attention.How the Centrelink debt debacle failure rate is much worse than we all thoughtPeter Martin Published: January 24, 2017 - 8:20PM It has become the most widely cited figure in the Centrelink robo-debt debate: that 20 per cent of the debts identified by its data-matching machine are wrong.But the figure itself is wrong. The true number of mistakes is almost certainly higher, perhaps as high as 90 per cent.Twenty per cent has become the accepted truth in part because the figure is big - big enough for critics to use to condemn the data-matching program and big enough for Centrelink to use to fob off requests for the truth.Even Malcolm Turnbull's disenchanted former digital transformation chief Paul Shelter embraced it."All I can say is, if they were a commercial company, you would go...
This is the initial part of the post - read more by clicking on the title of the article. David.
from Australian Health Information Technology http://ift.tt/2kb3NKy
- TECHNOLOGY AND HEALTH
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