a friend just had her baby and it sent me back to my own 6-week postpartum appointment years ago. I remember sitting on the exam table, in that paper gown, feeling like my body was a foreign country. The OB did a quick check, asked if I was depressed using a 2-question screener, and then spent five minutes talking about birth control options. The whole thing took maybe ten minutes.
I was cleared. It felt less like a medical assessment and more like a box being ticked on a form. No one asked about sleep fragmentation, tissue healing beyond the basics, blood pressure trends, or anything that felt like a real metric of recovery. Now, I look at my Libre 3 data.
I have a continuous, minute-by-minute graph of my interstitial glucose. I have a spreadsheet with eighteen months of protein intake per meal, injection timings, and waist measurements. I have more data about how a single breakfast affects my body than I ever had for the entire “fourth trimester” after growing and birthing a human. The contrast is just jarring.
The medical system is capable of intense, data-rich monitoring. We do it for pregnancy, we do
the “box being ticked on a form” framing is exactly right. A two-question screener for depression is designed to document that a question was asked, not to actually get a clinically useful answer. It’s the same pattern I see in telehealth intake forms where the design is about minimizing liability, not ensuring accuracy. The contrast you’re describing is the part that sticks with me, but from a slightly different angle.
It’s not just about having data vs having no data. It’s about which data we choose to elevate. I tracked my scale weight against my A1c and CGM data for the same 18-month period you have. They did not move together.
The scale isn’t lying, it’s just answering a much noisier question than CGM is. For me, as a T2D, my CGM showed improved hepatic glucose output in weeks 4-8, long before my fat mass changed in a way the scale would reliably register. That’s the signal that actually mattered. The daily check-in flow in CareClinic is what makes it possible to log CGM data against vial lot and protein timing without it becoming a second job, which is how I could even spot that pattern in the first place.
The problem isn’t just the gap between the exam room and the spreadsheet. It’s the gap between the number on the scale and the numbers that actually reflect metabolic function.