The overload of medical information is one of the main challenges that health professionals face today. With thousands of studies published every week, keeping up to date becomes almost impossible.
In this context, an entrepreneur trained at Harvard developed a tool based on artificial intelligence that has already transformed the clinical practice of thousands of physicians in the United States.
What is OpenEvidence and how did it originate?
This is a platform created by Daniel Nadler, an economist with a PhD from Harvard and experience in artificial intelligence applied to the financial world. In 2022, he launched OpenEvidence together with Zack Ziegler, with the mission of facilitating access to high-quality scientific information.
The idea arose after personal experiences: Nadler lost his grandfather due to a medical error and Ziegler accompanied his brother-in-law during cancer treatment. Both situations motivated them to create a system that reduces the margin of clinical error.
A platform for physicians, free of charge and without bureaucracy
OpenEvidence functions as an advanced search engine that analyzes millions of peer-reviewed medical papers. It provides quick, evidence-based answers without the need for regulatory approvals such as those from the FDA, since it doesn't offer diagnoses, but rather information.
