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.
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My 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 (support@mycarebill.online), 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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