Bell Eapen

Bellraj (Bell) Eapen is a techie physician with an MSc in eHealth and PhD in Information Systems from McMaster University. He is a proponent of Machine Learning and Artificial Intelligence applications in dermatology. He is proficient in open-source software development and maintains several software libraries on GitHub. He actively supports OSCAR and OpenMRS EMR platforms and is an advocate of FHIR, big data and blockchain adoption in healthcare. His research interests include Clinical Decision Support Systems (CDSS), Bioinformatics, Computational Biology, Cutaneous Imaging, mHealth and Public Health Informatics. He has several peer-reviewed publications.

I help healthcare organizations solve problems related to interoperability and analytics through the adoption of FHIR and OMOP data models, mainly for OSCAR EMR and OpenMRS platforms. 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.