How Data Analytics, GIS Helps Dartmouth Atlas Influence Healthcare
The Dartmouth Atlas of Health Care has more than 100 TB of Medicare claims data. This information, combined with peer-reviewed medical research, informs healthcare policy and helps institutions compare their quality metrics. Like any good atlas, it also uses data-driven maps to prove its points.
Mon, February 03, 2014
CIO — Over the last 20 years, The Dartmouth Institute for Health Policy and Clinical Practice has examined variations in healthcare delivery across both regions and health systems. The goal is to research the causes and consequences of that variation so patients better understand the health services available in their community.
"In healthcare, geography is destiny. Where you live and where you receive care makes a tremendous difference," says Dr. David C. Goodman, professor of pediatrics and health policy at The Dartmouth Institute. (Research shows that there's a relationship between ZIP codes and life expectancy.)
Over time, Dartmouth has amassed the largest non-governmental set of Medicare data in the United States, Goodman says — more than 100 TB in all, and growing. This data, compiled and displayed in the Dartmouth Atlas of Health Care, has measured trends in hospitalization rates, ambulance use and medication use, getting as granular as specific hospitals and, in the case of medication use, subsets of the patient population (such as those with advanced cancer or chronic illness).
With So Much Data, Visualization Becomes Paramount
Not surprisingly, this information, normalized across decades, interests many stakeholders:
- For healthcare systems, Dartmouth Atlas provides performance data, letting facilities compare themselves to hospitals both near and far.
- Policymakers, meanwhile, use the data as guidance for defining the future of healthcare, particularly when it comes to clinical quality measures and opportunities to lower costs without compromising that quality, Goodman says.
- Though the Dartmouth Atlas isn't necessarily a consumer site, its information has been framed for patients, most notably in Consumer Reports lists of hospital readmission rates and overall hospital rankings. (These lists aren't without criticism, though, as hospitals that perform expensive procedures aren't on the measure of cost alone inefficient and ineffective.)
All this information, combined with what Goodman describes as a "foundation of peer-reviewed papers" that's several hundred strong, undergoes "fairly sophisticated" statistical and spatial analysis, such as the estimated travel time for residents of one area to the nearest critical access hospital. The resulting inferences and conclusions must be presented in a meaningful way, lest viewers get lost amid a sea of charts.