>Raj Gopalan

About The Speaker

Raj Gopalan

Raj Gopalan is a senior physician executive with more than 35 years of experience, both in clinical medicine and healthcare information technology. He is an internal medicine physician, as well as a National Library of Medicine fellow with formal training and degree in medical informatics. He has published several articles on cancer research and artificial intelligence in distinguished scientific journals. · He started as a fellow at the National Cancer Institute, clinical branch, working on chemotherapeutic agents for breast cancer. · He later worked as a faculty fellow at University of Maryland Medical Center. · He completed his medical informatics fellowship and degree at University of Pittsburgh Medical Center, where he specialized in Artificial intelligence and Machine learning to build Clinical Decision Support for clinicians taking care of patients. · He worked at US Oncology, as a clinical architect, to build applications that automate selection of cancer patients for clinical trials. · He was hired by University of North Carolina Health system, where he built an award winning EMR system, integrated with Imaging, Cardiology, Labs, Pharmacy and 40 other Ancillary systems, that is fully adopted by clinicians, which later was acquired by Siemens Healthcare Solutions. · As Chief Medical Information Officer at Advent Health, he rolled out Computer Physician order entry system at 30 US hospitals with 90% adoption from day 1. That qualified for Advent Health to receive multimillion dollar incentive payments from the US Govt. under the meaningful use act. · At Wolters Kluwer, as VP of innovation and informatics, he built evidence driven clinical decision support system using their flagship application “Up-To-Date” which is an encyclopedia of current medicine, which is used everyday by physicians across the globe. · At Siemens, he is building AI based prediction models that would help identify patients at risk for life threatening diseases like Cancer, Sepsis, Liver and Kidney Diseases using routine blood tests.