Over the past four years, my brother and I have grown a business that helps doctors publish data-driven articles from the two of us to over 30 experienced researchers. However, along the way, we noticed that data management in medical publication was decades behind other fields–in fact, the vital clinical outcomes from major trials are generally published as singular PDFs with no structured data, and are analyzed in comparison to existing studies only in nonsystematic, nonupdatable publications. Effectively, medicine has no central method for sharing or comparing patient outcomes across therapies, and I think that it is our responsibility as researchers to present these data to the medical community.
Based on our internal estimates, there are >3 million published clinical outcomes studies (with over 200 million individual datapoints) that need to be abstracted, structured, and compared through a central database. We recognized that this is a monumental task, and we therefore have focused on automating and scaling research processes that have been, through today, entirely manual. Only after a year of intensive work have we found a path toward creating a central database for all published patient outcomes, and we are excited to debut our technology publicly!
Keith recently presented our venture at a Mayo Clinic-hosted event, Walleye Tank (a Shark Tank-style competition of medical ventures), and I think that it is an excellent fast-paced introduction to a complex issue. Thanks also to the Mayo Clinic researchers for their interesting questions! You can see his two-minute presentation and the Q&A here. We would love to get more questions from the economic/data science/medical communities, and will continue putting our ideas out there for feedback!