Health at Scale is a pioneering startup in the healthcare technology sector, specializing in the use of advanced machine intelligence to optimize patient care. The company’s primary mission is to ensure that every patient receives the right treatment from the right provider at the right time. By leveraging predictive and personalized machine intelligence, Health at Scale aims to improve healthcare decisions by analyzing tens of thousands of variables.

The company serves a diverse range of clients, including some of the largest health plans in the United States. These clients benefit from Health at Scale’s ability to predictively model how provider outcomes can vary based on the unique health characteristics of individual patients. This allows for intelligent guidance of patients to high-value providers and the creation of networks tailored to the specific needs of different populations.

Health at Scale operates in the healthcare technology market, focusing on precision care delivery. Its business model revolves around deploying its machine intelligence solutions at scale in real-time operational settings. The company makes money by offering its technology to health plans and other healthcare organizations, helping them improve patient outcomes and reduce costs through better provider selection and network design.

The technology behind Health at Scale is powered by longitudinal data from over 120 million members, covering a decade’s worth of facility, professional, and pharmacy encounters. This extensive dataset enables the company to make highly accurate predictions and recommendations. The startup has been recognized by Forbes, Hospital Review, and Analytics Insight as one of the top machine learning companies in healthcare.

In summary, Health at Scale is transforming health outcomes through precision care delivery, using cutting-edge machine intelligence and extensive data to guide patients to the most suitable providers.

Keywords: machine intelligence, healthcare technology, predictive modeling, personalized care, patient outcomes, provider selection, network design, health plans, precision care, data-driven.