Healthcare generates nearly 30% of the world’s data, yet much of it moves through systems that were never designed to ensure accuracy or reliability. As AI and analytics become central to care decisions, the risk of flawed, inconsistent data quietly undermining patient outcomes is growing.

In this article, Joshua Heath explores how Great Expectations—built by healthcare data practitioners working inside real hospital systems—has become a critical trust layer for modern healthcare. From open-source framework to enterprise SaaS platform, GX is helping organizations validate data in real time, protect patient safety, and ensure AI-driven decisions are grounded in information clinicians can trust.

Our whole world seems designed to keep us awake. Practically all American adults (at least 94%) use caffeine every day. Most of us also stare at screens long after the sun goes down, and brag about burning the midnight oil. 

In 1995, you could buy a typical home for around $165,000. That same house would now cost $714,000. In terms of mortgage payments, that represents a more than four-fold increase. 

It all begins with an idea.

After graduating from high school in 2002, I spent two years living in Eastern Ukraine as a missionary. During my time there, I discovered that the ways Ukrainians did certain things were better than what I had known growing up.

Smart EHR UI offerings improve usability and reduce the time and effort to find, access, and share relevant clinical information, which helps to greatly reduce EHR-induced clinician burnout.

It all begins with an idea.

The interdependence model is a natural fit for healthcare. As subspecialties continue to mature, procedures, devices and technologies used to treat patients become increasingly disparate from one another.

VC funds are highly differentiated from each other with respect to stage, size, sector, geographic, and other elements of strategy.

In Greek mythology, Prometheus was a Titan who wanted to uplift mankind and provide them with essential knowledge and gifts.

Economic cycles have a significant impact on the valuations of ventures, but early stage venture valuations are more stable than late stage venture valuations.

The idea is counterintuitive; everyone knows that in order to produce illuminating, actionable results, researchers should assemble large, diverse pools of research subjects – the largest they can handle – and see what insights they can skim out of this “Big Data.”

We are proud to announce that our portfolio company, OpenLoop, a leading white-label telehealth support company, has acquired imaging support service company Imaging Panda.