Insight
What are risk and risk-based payment models in healthcare?
When you think of risk, you’re probably thinking of an outcome you’d like to avoid — but what do we mean when we talk about healthcare risk?
Resources
Our latest thinking | Page 39
Browse articles, white papers, webinars, replays, and resources on a variety of topics, like population health, healthcare analytics, and value-based care.
Showing 472 entries, page 39 of 40
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Insight
Burgers and fries, and data: a comparison of obesity rates in major U.S. cities
This data visualization isn’t actually about fast food—rather, it’s a look at how we can collect and present public health data in novel ways.
Data Gallery
The final year: Where and how we die
Where and how we end our lives is an important healthcare concern. Here, an artist visualizes cause of death alongside location, from hospice to home.
Data Gallery
Childhood growth charts: an analysis of 580,000 height/weight observations for 63,000 children
Measuring the height and weight of 63,000 children against WHO standards reveals that this sample weighs 8% more than the global average by 24 months old.
Data Gallery
What does your EHR look like? Visualizing the vastness and complexity of a typical EHR
A patient’s electronic health record is so dense it can surpass Wikipedia in size. This chart shows the relationships between data tables within one EHR.
Data Gallery
Co-occurrence of rendering providers: Density of patients seeing multiple providers in a service year
A look at how often patients see multiple providers per year, grouped by specialty. Patterns show allegiance to a primary care physician.
Data Gallery
The evolution of diabetes: 12 years of disease state transitions
EHR and claims data for 10 million patients show the evolution of diabetes, a glimpse at the most at-risk individuals and a way to prevent disease.
Data Gallery
What lies beneath: A comparison of claims data and EHR data available for 500 patients
Visualizing the vast and rich resources of EHR data that typically hide just beneath the surface and out of view.
Data Gallery
Disease, diet and exercise: An analysis of the 48 contiguous states
Explore the CDC’s state data on nutrition and exercise, behavioral factors that appear to correlate with depression and diabetes.
Data Gallery
A day in the life of Dr. Jones: 24 visits, 16 hours, 2,541 clicks
In Dr. Jones’s 16-hour day, she sees 24 patients. Between these visits lies a multitude of data, from EHR to engagement with clinic staff.
Data Gallery
The final year: visualizing end of life
Where do we spend our final moments? Data shows that 42% of patients pass away at home, but an almost equal proportion die in hospitals.
Data Gallery
Real-time quality improvement: Care gap opportunities in a typical day
Closing gaps in care can mean prescribing, testing, or behavioral changes. When a patient comes in for one issue, identifying others = lessening risk.