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Client Decision Support System
Machine Learning & Qualitative Study of Clinical Decision Support Systems
Machine Learning and Artificial Intelligence are fast emerging as game-changers in healthcare. However, the impact of these emerging technologies on clinical outcomes is still limited, mostly due to design and adoption factors. There is a widening rift between clinicians and health IT professionals.
Bell’s research involves exploring the entire circle of health IT from design to implementation and finally, adoption by the clinical community. Bell strives to bridge the gap between software engineering and clinical medicine.
Publications
LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning
B. Eapen, N. Archer, K. Sartipi | February 2021 | Journal of JMIR Dermatol 2020
Serverless On FHIR: Deploying Machine Learning Models For Healthcare On The Cloud
B. Eapen, K. Sartipi, N. Archer | May 2020 | ArXiv.org
Research Team
Dr. Norm Archer
PROFESSOR EMERITUS
Information systems
DEGROOTE SCHOOL OF BUSINESS
MCMASTER UNIVERSITY
Dr. Brian Deltor
Professor, Area Chair
INFORMATION SYSTEMS
DEGROOTE SCHOOL OF BUSINESS
MCMASTER UNIVERSITY
Other projects
Data Intel Research
A multi-disciplinary research initiative on Information and System Intelligence research.