Across nearly 400,000 women's medical records, a quiet erasure has been documented: menopause — a transition that reshapes the body's relationship to heart disease, bone density, and metabolic health — appears in clinical records at barely one-seventh the rate women themselves report it. A University of Colorado study published in the journal Menopause reveals not a problem of inaccuracy, but of omission, as medical systems built around billable diagnoses routinely fail to record one of the most consequential passages in a woman's life. The consequence is not merely administrative — it is a st
Menopause Drastically Underreported in Electronic Health Records, Study Finds
We cannot study what we do not measure. We cannot treat what we do not know.
Mark
So the study found menopause is barely documented in electronic health records. But when it is documented, does it match what women say happened to them?
Mimi
Yes—nearly all the women who had menopause in their EHR also reported it in the survey. So the records that do exist are accurate. The problem is that most of the time, nothing gets recorded at all.
Luke
That's an important distinction. We're not talking about misdiagnosis or conflicting information. We're talking about silence. Seven percent documentation in a dataset of 396,000 women.
Mark
Why would doctors not document something so significant?
Mimi
Menopause doesn't always trigger a formal diagnosis code the way, say, a heart attack does. A woman might tell her doctor about symptoms, but unless it gets coded and entered into the system, it vanishes. It's not that doctors don't know—it's that the systems aren't set up to capture it consistently.
Luke
And we should be clear: this is one dataset. The All of Us program is large and diverse, but it's not every woman in America. The problem might be even worse elsewhere, or it might be different in other health systems.
Mark
What does this mean for research?
Mimi
It means researchers studying how menopause affects heart disease or bone health can't use most of the data they have. They can only work with the 7 percent where it was documented, which skews everything.
Luke
Or they have to rely on the survey data instead, which is what the researchers did here. But surveys have their own limitations—recall bias, different definitions of when menopause "started."
Mark
So the real fix is getting doctors to document it routinely?
Mimi
Yes. If menopause became a standard part of the medical record—age at onset, type, symptoms—then large datasets could actually answer questions about how it affects disease risk across different populations.
Luke
Which is what the researchers are saying: measure it consistently, and then we can study it. Right now we're flying blind.
El Pulso
- Of nearly 396,000 women studied, only 7% had menopause documented in their electronic health records, even as 193,000 survey responses confirmed the transition had occurred.
- The mismatch is not about error — when EHR records did capture menopause, they almost always aligned with what women self-reported, meaning the crisis is one of wholesale silence, not contradiction.
- Critical details like age at menopause — a key variable for understanding risks of heart disease, bone loss, and metabolic disorders — are vanishing from the very systems designed to track them.
- Electronic health records, structured around diagnosis codes and reimbursable events, create a systemic filter that quietly drops conversations about hot flashes and irregular cycles unless a formal code is entered.
- Researchers working with the NIH's All of Us program — built to link surveys, health records, and genomic data — find their ambitions constrained by foundational gaps in the data they depend on.
- The study's authors are calling for routine reproductive health documentation as a standard of care, arguing that what medicine cannot measure, it cannot improve.
Across nearly 400,000 women's medical records, a quiet erasure has been documented: menopause — a transition that reshapes the body's relationship to heart disease, bone density, and metabolic health — appears in clinical records at barely one-seventh the rate women themselves report it. A University of Colorado study published in the journal Menopause reveals not a problem of inaccuracy, but of omission, as medical systems built around billable diagnoses routinely fail to record one of the most consequential passages in a woman's life. The consequence is not merely administrative — it is a structural blindness that limits what science can know and what medicine can offer.
When researchers at the University of Colorado Anschutz compared what nearly 396,000 women said about their own bodies against what their doctors had written down, the distance between the two was striking. Menopause appeared in patient surveys almost seven times more often than it appeared in electronic health records — roughly 193,000 survey observations against just 28,000 clinical diagnoses. Only 7 percent of women in the dataset had the transition documented in the systems their clinicians actually use.
The problem, investigators found, was not inaccuracy. When menopause did appear in a woman's electronic record, it almost always matched her self-report. The issue was something more pervasive: routine omission. A woman might describe her symptoms to her doctor, but unless that conversation produced a formal diagnosis code, it left no trace in the record.
Audrey Hendricks, the study's principal investigator and an associate professor of bioinformatics at CU Anschutz, was direct about the stakes. Menopause is not a minor event — it reshapes cardiometabolic health and influences risk for numerous chronic diseases. Yet details as fundamental as the age at which menopause occurred, a variable central to understanding disease risk, frequently disappear from the record entirely.
The NIH's All of Us Research Program was designed to answer exactly these kinds of questions, assembling surveys, health records, and genomic data from hundreds of thousands of participants. But that potential stalls when foundational information is missing. Researchers cannot investigate how menopause timing relates to heart disease or bone loss if the records do not say when menopause happened.
The findings offer immediate guidance for researchers already working with All of Us data, but the larger implication is a call for systemic change: reproductive health information must become a routine, reliably captured part of clinical care. As the program grows and more complete data becomes available, the opportunity exists to reshape how medicine understands — and how clinicians navigate — one of the most significant physiological transitions in a woman's life.
Researchers at the University of Colorado Anschutz examined nearly 396,000 women enrolled in the National Institutes of Health's All of Us Research Program and discovered a striking gap: menopause appeared in patient surveys nearly seven times more frequently than it showed up in their electronic health records. The study, published in the journal Menopause, compared what women reported about their own reproductive transitions against what their doctors had actually documented in the medical systems that are supposed to track their care.
The numbers tell the story plainly. Researchers found approximately 193,000 menopause observations in survey responses but only about 28,000 menopause diagnoses recorded in electronic health records. This means menopause was documented in the EHRs of just 7 percent of the women in the dataset—a figure that underscores how routinely this major life transition goes unrecorded in the systems clinicians use every day. When menopause did appear in a woman's electronic record, it almost always matched what she had reported in her survey, suggesting the problem is not one of inaccuracy but of wholesale omission.
Audrey Hendricks, an associate professor of bioinformatics at CU Anschutz and the study's principal investigator, framed the problem in direct terms: without consistent measurement, research cannot proceed and clinical care cannot improve. Menopause is not a minor event. It reshapes cardiometabolic health and influences risk for numerous chronic diseases, yet relatively little is known about how the timing and type of menopause shape health outcomes across different populations. The missing data also extends beyond whether menopause occurred—critical details like the age at which it happened, a factor central to understanding disease risk, frequently vanished from the record.
The All of Us Research Program was designed precisely to answer these kinds of questions by assembling survey responses, electronic health records, and genomic data from hundreds of thousands of participants. But that potential remains locked away when the foundational information is not there. Researchers cannot study what they do not measure. They cannot design studies to understand how menopause timing relates to heart disease, bone loss, or metabolic changes if the electronic records do not contain when menopause occurred in the first place.
The gap points to a systemic problem in how women's health information flows through medical systems. Electronic health records are built around diagnosis codes and billable events, and menopause—despite its profound effects on health—often does not trigger the kind of clinical documentation that gets reliably captured. A woman might mention her hot flashes or irregular periods to her doctor, but unless that conversation results in a formal diagnosis code entered into the system, it disappears from the record. The consequence is that large datasets meant to illuminate women's health across the lifespan instead contain massive blind spots.
Hendricks and her team say the findings offer immediate guidance for researchers already working with All of Us data, helping them understand how to define study populations and account for missing information. But the broader implication is a call to action: medical systems need to do better at capturing reproductive health information as a routine part of care. As the All of Us program continues to grow and more complete menopause data becomes available, researchers will have the chance to investigate how factors like age at menopause relate to disease risk across diverse populations. That knowledge could eventually reshape how clinicians counsel women through this transition and how medicine understands one of the most significant physiological changes in the human lifespan.
Citas Notables
Menopause has enormous implications for women's health, but if we don't consistently capture when menopause occurs and other important reproductive health information, we limit our ability to understand how this transition affects disease risk and health outcomes.— Audrey Hendricks, associate professor of bioinformatics at CU Anschutz
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