There has been a lot of talk in the media and online lately about gender bias: what is real, and what is just a perception. That’s why I like data. Data is just an “it”. Big data is just an “IT”. However, doing analysis on that data can provide insights into medical differences between the genders. As this article explains “male and female patients face certain patient safety issues at different rates, although the data does not reveal why adverse events are more likely to occur in one gender over another. Female patients are more likely to experience adverse drug reactions, while more male patients faced skin integrity errors, such as cuts and abrasions.”
One of the other points in this article that cannot get emphasized enough is that standardizing patient safety reporting procedures begets more accurate data. The more accurate your data, the more accurate your results. I, for one, really like accurate results. Particularly for critical areas of importance. Like finances. Or healthcare. Or cake recipes. No one wants to be on the receiving end of a bad guess.