Women's Health Features Are Critical to Her Longevity Care

What if some of the most valuable information we have about a woman's future health is already sitting in her medical record — but no one is connecting the dots?

Consider this: A woman develops preeclampsia at 32. Her pregnancy ends, her blood pressure normalizes, and she goes back to her life. Fifteen years later, she develops hypertension. Another decade later, cardiovascular disease.

In our healthcare system, these are largely treated as three separate medical events. But biologically, they may be three chapters of the same story.

We know that women who experience preeclampsia have roughly 2.7 times the risk of developing cardiovascular disease later in life. We know that gestational diabetes can be an early warning sign for future metabolic disease. We know that conditions like polyendocrine metabolic ovarian syndrome (PMOS, formerly PCOS) and rheumatoid arthritis carry cardiovascular implications that extend far beyond the specialties in which they're typically managed.

And yet, knowing these things has not fundamentally changed how we practice preventive medicine.

One of the greatest missed opportunities in healthcare is our failure to recognize that disease has a history long before it has a diagnosis.

I believe women's health is the most interesting place to start reworking this shortcoming. Women's reproductive history is a window into her future health

For decades, medicine has treated women's reproductive health as something of a separate domain. We see the gynecologist for reproductive issues, the obstetrician for pregnancy, and the primary care provider for everything else.

But women's reproductive lives offer something extraordinary from a biological perspective: a series of natural physiological transitions that can reveal how the body responds to stress, inflammation, hormonal changes, and metabolic demands.

Pregnancy, for example, is sometimes described as a cardiovascular stress test. The enormous physiological demands of pregnancy can reveal underlying vascular and metabolic vulnerabilities that might otherwise remain invisible for years.

Perimenopause is another inflection point. Changes in estrogen, body composition, insulin sensitivity, lipid metabolism, and vascular function can expose or accelerate underlying risk.

Even menstrual cycle characteristics, reproductive conditions, and the timing of menopause may carry information about future health that we're only beginning to understand. These aren't simply reproductive events. They're windows into a woman's underlying biology. And yet, our healthcare system is remarkably bad at using them that way.

A woman might have PMOS diagnosed in her twenties, gestational diabetes in her thirties, worsening sleep and metabolic markers in her forties, and hypertension in her fifties. Each gets documented, treated, and filed away.

We rarely ask the more interesting question: What are these signals telling us collectively about the trajectory of her health?

The problem isn't that we lack information. It's that we've built a system that can't connect it. We all hear this and viscerally know the problem - healthcare is silo’d and fragmented. Modern medicine is extraordinarily specialized, in ways that are detrimental to getting coherent healthcare. The cardiologist understands the heart. The rheumatologist understands inflammation. The gynecologist understands reproductive health. The psychiatrist understands mental health. Each sees a different piece of the same person.

Our medical records reflect that fragmentation. They're excellent at documenting encounters, diagnoses, and treatments. They're much less effective at representing the evolution of a person's health over time, particularly across specialties.

Meanwhile, an entirely new universe of health data is emerging outside the doctor's office. Wearables can capture changes in sleep, heart rate, temperature, and activity. At-home diagnostics are making it possible to measure more aspects of our biology, more frequently.

But more data isn't inherently better medicine.

A woman doesn't need her doctor to review 10,000 additional data points. She needs someone — or something — capable of recognizing which three signals matter, why they matter for her, and what she should do about them.

The opportunity isn't simply to collect more information. It's to make connections that weren't previously visible.