During the early days of the COVID-19 Pandemic, we leveraged our database—which includes the dynamic profiles of more than 10 million healthcare professionals—and our machine learning applications to help combat widespread shortage of frontline healthcare workers. This process involved: Identifying qualified healthcare workers not currently working in the industry Contacting them via text message Validating their credentials and certifications Connecting them to COVID-19 hotspots, where they could be deployed as emergency medical personnel Working for the State of New York, we contacted 250,000 healthcare professionals in New York State and 50,000 in New Jersey, of which 5,320 ultimately volunteered for deployment to surging hospitals. This initiative was soon spread to Massachusetts, Louisiana, California, Texas, and Missouri, and it successfully connected tens of thousands of healthcare workers to hospitals in COVID hotspots.
We recently worked with an international electronics company to find a data scientist. Not too hard, right? The problem was that the successful candidate needed to: 1) Have current experience as a Silicon Valley-based streaming company 2) Speak Hindi 3) Have professional and business connections in Western India 4) Be willing to relocate to the company’s offices in Mumbai 5) Have the mixture of technical and leadership expertise to build and manage a new team from scratch. Talk about a needle in a haystack. Before OBDynamics, this search might have taken a year; instead it was completed in a matter of weeks.