PhD Candidate | MCMASTER UNIVERSITY
AI & Qualitative Study of CDSS
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.
Open-Source Softwares Tools
A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning
A suite of qualitative research (QR) data mining tools in Python using Natural Language Processing (NLP) and Machine Learning (ML).
Drishti is an open-source implementation in Java of the open mHealth standard for behavioural interventions. Drishti employs the sense-plan-act paradigm form robotics
Structured health data capture is pivotal to the success of any health information system. However, there is no widely accepted standard for the content and presentation of healthcare eForms. FHIRForm is a framework for managing healthcare forms leveraging the HL7 FHIR standard (specifically the Questionnaire resource).