Bell Eapen

I am Bellraj (Bell) Eapen, a techie MD (dermatologist) with a PhD in Information Systems from McMaster University. I am a proponent of Machine Learning (ML) and Artificial Intelligence (AI) applications in medicine with a focus on deploying AI applications on the cloud. As an enterprise architect at Mayo clinic, I specialize in cloud architecture for NLP, conversational AI, and multimodal ML.

I am an open-source enthusiast and I maintain several software libraries on GitHub. I actively support OSCAR and OpenMRS EMR platforms. I am an advocate of FHIR (Fast Healthcare Interoperability Resources), big data and blockchain adoption in healthcare. My research interests include Clinical Decision Support Systems (CDSS), Bioinformatics, Computational Biology, Cutaneous Imaging, mHealth and Public Health Informatics. I have several peer-reviewed publications.

I help healthcare organizations solve problems related to interoperability and analytics through the adoption of FHIR and OMOP data models. I facilitate the adoption of machine learning and artificial intelligence in healthcare organizations leveraging NLP on clinical records. As a consultant, I deliver prototypes & models instead of reports and recommendations! My GitHub repo at github.com/dermatologist has many sample projects.