Information Quality professionals (and indeed quality management professionals in general) often recite a mantra that good quality begins at the beginning of a process, that it must be designed in, and that defects need to be fixed as close to the start of the information chain as possible.

A post today on DataQualityPro.com from Dylan Jones highlights the significant truth that lies behind all these statements.

Dylan’s son was born in April. The first thing the State did for him was to slap an identifier on him. The second thing they did (to summarise Dylan’s excellent and forensic post) was to make a mess of linking the local hospital ID to a National patient record.

That error propogated and resulted in the parents of another child over 90 miles away getting an appointment for a medical checkup relating to Dylan’s son. It seems that the efforts made to correct the error Dylan spotted when his son was born haven’t propogated half as fast as the original error.

And that’s the problem. How many other processes and silo’d systems has this error propogated into? How many more times in Dylan’s son’s life will be be confused with another child 90 miles away? What other ‘life-events’ will this error impact? In future, how will he find himself trapped by his number?

Ultimately, Dylan’s son is not a number, he’s a human being.

We recently posted a long Trainwreck on the problems with Google Health due to poor quality information. It is possible that an error like the one affecting Dylan’s son could result in incorrect patient data about Dylan’s son being transferred to this type of electronic patient record. Who would be responsible for the impacts if that information was acted on in haste without Dylan (or Mrs Jones) being there to point out that the information was wrong?

Given that in an Irish hospital in 2003 the medical staff failed to act on an error in an expectant mother’s chart and delivered a baby 39 days prematurely, despite the parent’s insistence that there were errors in the chart, highlights that simple errors in medical records can have significant impacts. That the baby in question died further highlights that these impacts can be catastrophic, which means that the standard of care for quality in medical records needs to be high.

Dylan’s investigations also uncovered some other weaknesses/flaws in patient data quality which are unsettling. We’d suggest you take a look at Dylan’s post for more details on those.

For actual inconvenience and annoyance to Dylan’s family, and for the potential for catastrophic loss or injury, this counts as a definite IQTrainwreck.