Shame the Factom team didn't get in on this, $1m prize.
They've virtually got the entire framework required by the challenge already in place, just needs to be adapted for the purpose.
Had I seen it earlier would have entered myself and used the protocol.
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In an environmental scan in 2014, the Office of the National Coordinator for Health Information Technology found that the best error rate is around 7%. Seven out of 100 records are mismatched. Perhaps the John A. Smith record found was not the right one. This is pretty serious when you consider that the provider may unknowingly prescribe a medication that interacts poorly with a medication John is already on or cause him harm due to a condition he has. Many patients cannot tell you accurately themselves what their prescriptions are or name all of their conditions.
Worse still, the error rate is usually closer to 10 to 20 percent within a healthcare entity and it rises to 50 to 60 percent when entities exchange with each other. That’s just not good enough. It’s not safe. We need patients to be identified accurately 100 percent of the time.
Worse still, the error rate is usually closer to 10 to 20 percent within a healthcare entity and it rises to 50 to 60 percent when entities exchange with each other. That’s just not good enough. It’s not safe. We need patients to be identified accurately 100 percent of the time.
