Nightingale
The firm's data visualization practice. Built with The Mayo Clinic in 2015. Rebuilt for the AI era. Deployed at institutions, embedded inside partner platforms.
2015
Nightingale at The Mayo Clinic
Nightingale was first deployed at The Mayo Clinic in 2015, in collaboration with the Mayo Clinic Social Media Network. The tool enabled quality metric benchmarking at three tiers: by department, by individual physician, and at the hospital level. Each tier could compare its own performance against national CMS benchmarks and against peer institutions. The visualization below is a faithful reproduction of the original, rebuilt in modern React on the CMS Hospital Readmissions Reduction Program categories the tool was designed for.
Reporting
Sample Academic Medical Center
Fiscal year 2024
Each inner wedge is a CMS Hospital Readmissions Reduction Program category, sized by case volume. Coral indicates the hospital is below the national average. Charcoal indicates above.
Hover or tap a wedge for the underlying figures.
Today, AI-powered
Nightingale for facility intelligence
The same visualization language, applied to healthcare facility operations at scale. Building management systems, electrical distribution, plumbing and medical gas, security, and a dozen other operational systems each generate their own data streams in formats that rarely talk to each other. Nightingale aggregates them, normalizes them, and packages them into a single executive view. The visualization below shows equipment downtime hours by building system across a fiscal year, the kind of summary a senior facility executive uses to prioritize capital and operational decisions.
Reporting
Sample academic medical center
Fiscal year 2024
Each wedge is one building system. Area is proportional to total downtime hours across the year. Coral intensity tracks volume.
Hover or tap a wedge for the quarterly breakdown.