Four years ago, Vaidyanatha Siva decided to apply deep learning technology to healthcare. That idea led to DocSynk, a Dallas-based startup driven by “making healthcare better” through machine learning. Today, DocSynk’s artificial intelligence platform is being used by some of the largest players in the industry.
The use cases are transformative, all designed around having a positive impact on healthcare. Using clinical informatics, recommender systems, and deep learning on data sets, the engine has the potential to detect a patient’s chronic condition, modernize a business process, or improve a care management process and revenue cycle.
Siva and his team operate on the strategy of going deep before going wide, as DocSynk focuses on tuning the accuracy of its predictions. They believe the model could become the industry standard for patient risk stratification and cohort building.
DocSynk was recently selected to participate in a federal AI healthcare challenge, a feat Siva hopes will help move the needle. From working as CTO at Infosys to CTO and COO at Parkland’s Innovation arm, and being instrumental in raising $50 million in funding for healthcare predictive analytics research, he is now focused on one thing: Building a “world-class technology unicorn in Dallas.” —A.E.
Finalists: Sean Minter, AmplifAI; Melbourne O’Banion, Bestow; Damir Perge, FluidLytix; Dave Copps, Hypergiant