I'm actually rather good at this. What I do matters, both directly (patient data) and indirectly (employees don't have to stay over for hours and hours making corrections). But I can't help thinking sometimes I could be doing more.
I really would like to be doing real data analysis. Writing software meant to crunch serious numbers/data. I've been interested in AI and machine learning since I was a kid, always with an eye towards such things as behavior modeling and predictive systems.
Sadly my early education missed some critical things. I'll take the blame for some of this, some of it was simply that no one knew to look for dyscalculia, and even if they had heard of it, wouldn't have considered it in a kid who consistently made B's in maths.
Kids: Learn math. Arithmetic is not math. Arithmetic is the simple stuff. Math is the stuff you'll wonder why you'd ever want to know or how you'll ever use. You need arithmetic, you use math already - you just don't know it. Arithmetic lets you balance your checkbook. Math lets you abstract the world around you and see patterns that aren't always obvious, and more importantly, test that those patterns are valid.
Parents/teachers: Watch how your kids handle arithmetic tasks from an early age. Dyscalculia is a real phenomena, with a constellation of symptoms that can be identified. More importantly, the effect can be mitigated to varying degrees with suitable training methods and coaching. Getting past the early failures in learning arithmetic can help a child get the early footing in mathematics that can make all the difference in their future.
Signs of dyscalculia:
This isn't a call to arms, nor really a complaint even. It really isn't even a vindication of my under-achievement. More than anything discovery of this disability(?) and its symptoms and treatment helped me understand my limitations and how to better compensate for them.