I am a computational health economist specializing in applying artificial intelligence (AI) to the US healthcare revenue cycle management system to reduce costs, cut inefficiencies, and mitigate fraud. As a renowned computational health economist, I specialize in using artificial intelligence(AI) methods to conduct research on the US healthcare revenue cycle, healthcare budget, healthcare workforce, and healthcare equity and quality. I hold a B.Sc.in Microbiology, an M.A. in Leadership and Administration, an MBA, an M.A. in Economics, and I am nearing the completion of my Ph.D. in Econometrics and Quantitative Economics. I am also a PRINCE2 project management practitioner. Currently, I am a Ph.D. Researcher at Computational Justice Lab, a reputable research lab at Claremont Graduate University.
Check It Out HereMy research in AI and healthcare led me to create an AI virtual robot that can read medical bills, analyze them, and compare bills across the internet to see where a certain procedure can be performed cheaper and then refer patients to the doctor/clinic. This has led to several cost savings for patients. Basically, patients who use my bot would submit their clinical procedure at a web interface or to an email ([email protected]), and then the bots will automatically search the internet for cheap/ cost-effective providers near the patient where the procedure can be carried out with the same level of quality.
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