As consumers, we want and expect the information we’re looking for to be presented in a way that’s easy to read and understand. In an industry as data-heavy as healthcare, that type of clarity is even ...

AirStrip visualization is currently deployed across more than 600 healthcare systems in the U.S. Joint commercialization agreement provides expansion of AirStrip Cardiology and Patient Monitoring ...

Imagine that doctors, nurses, and healthcare administrators could save up $300 billion annually while saving more lives and increasing productivity. Sounds far-fetched, right? This win-win-win ...

A cohort study evaluating the clinical, environmental and genetic profiles of men with early-onset, aggressive prostate cancer. Cost-effectiveness analysis of seven treatment regimens in metastatic ...

Innovations in generative AI offer capabilities that simplify data visualization workflows. Data teams that solve GenAI challenges can make data visualization experiences more accessible for all users ...

CHICAGO – Patient care in the intensive care unit generates huge volumes of complex data. This influx of data can be a lot to handle, and overwhelms staff people, who are trying to aggregate and ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

As data analytics become more necessary to advance population and public health, healthcare stakeholders may find themselves increasingly working on analytics projects. The outcomes of these projects ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...