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.
Resources
Our latest thinking
Browse articles, white papers, webinars, replays, and resources on a variety of topics, like population health, healthcare analytics, and value-based care.
Showing 278 entries, page 23 of 24
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
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
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
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
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
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
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
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.
Insight
Weaving hospital variation, explained
Using 2015 CMS data, Arcadia looks at the variations in hospital size, quality of care, cost, and efficiency across ACOs.
Insight
Interoperability vs Intraoperability: Why are they critical in health IT?
While they may sound and look similar, their meanings couldn’t be more different: here’s a dive into interoperability and intraoperability.