Healthcare has always been challenged to transform the massive amounts of data that it produces into actionable insight. Over 50% of healthcare executives consider data utilization a high priority. Enlitic can demonstrate how you can benefit immediately from standardizing your medical imaging data while building the foundation for the future. The starting point of making informed decisions begins with curated, governed, standardized data. When you go back to the hospital, look at how much data you have stored in your imaging archive/VNA. And then look at what it costs you to store and protect the decades of images in your archive and ask yourself, “Can I turn that cost into a benefit?” Enlitic can make your imaging data work for you.

Enlitic Inc. is a pioneer in medical deep learning that leverages proprietary algorithms to quickly and accurately improve healthcare diagnosis. With a platform developed by renowned data scientists, machine learning practitioners, and medical experts, Enlitic is able to analyze a wide variety of healthcare data sources, including billions of clinical cases, to improve diagnostic accuracy, speed and patient outcomes, as well as accelerate pharmaceutical research and drug trials. Named one of the world’s “50 Smartest Companies” by MIT Tech Review, Enlitic is based San Francisco and serves customers around the world.

Our mission is to better people’s health and wellbeing. We do that by combining artificial intelligence with deep clinical knowledge to predict outcomes and present actionable information to healthcare providers. We also connect people to needed community services and community services to one another. By reducing manual effort our customers can spend more of their time helping people rather than entering, organizing or sifting through data.

N/A

Enlitic enhances the EHR by standardizing medical image data that can be used for enterprise benefits - analysis, quality improvement, monetization

Medical imaging data standardization

Artificial intelligence for anonymization