SEPTEMBER 2026
Turning Data Into Better Care: How PaTH Network Learning Communities Are Tackling Hypertension and Diabetes
Behind every clinical guideline and every improved patient outcome, there's usually a story about data — who collected it, who made sense of it, and who acted on what it revealed. Over the past several months, that story has been playing out across the PaTH Clinical Research Network, where member sites have collectively responded to two important data queries focused on two of the most common — and most consequential — chronic conditions in American health care: hypertension (high blood pressure) and diabetes.
Hypertension and diabetes rarely travel alone. Both are leading drivers of cardiovascular disease, kidney damage, and reduced quality of life, and both require ongoing, often lifelong management. Two recent PaTH data queries set out to capture a clearer picture of how patients across the network's sites are affected by hypertension and diabetes, what health care resources they're using, and where opportunities for improvement might exist.
The data alone don't improve care — people do. That's where PaTH's two topic-specific Learning Communities come in. Each group meets monthly, bringing together clinicians, researchers, and data teams to dig into what the numbers are showing and what they mean for patients.
These conversations go beyond simply reviewing statistics. Learning Community members use the data to better understand patient characteristics, patterns of health care utilization, and the everyday challenges patients face in managing these chronic conditions.
What makes this work distinctive is the underlying approach; rather than treating research and clinical practice as separate tracks, this model treats them as a continuous loop. First, data is gathered to understand a problem. Next, that knowledge is translated into real changes in care delivery. Then, and this is the step that's often skipped elsewhere, new data is collected to measure whether those changes actually made a difference.