Sushumna S Pradeep

@inproceedings{daowd_ichi_21,

title = {A Framework To Build A Causal Knowledge Graph for Chronic Diseases and Cancers By Discovering Semantic Associations from Biomedical Literature},

author = {Ali Daowd and Michael Barrett and Samina Abidi and Syed Sibte Raza Abidi},

doi = {10.1109/ICHI52183.2021.00016},

isbn = {978-1-6654-0132-6},

year  = {2021},

date = {2021-08-09},

urldate = {2021-08-09},

booktitle = {2021 IEEE International Conference on Healthcare Informatics (ICHI), Victoria, BC, Canada},

publisher = {IEEE},

keywords = {Causal relations, Chronic Illness, Knowledge Graphs},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{arussell-medinfo15,

title = {The Shared Decision Making Frontier: Managing Non-Critical Chronic Illness by  Combining Behavioural & Decision Theory with Online Technology},

author = {Amina Russell and William Van Woensel and Samina Raza Abidi},

url = {http://web.cs.dal.ca/~woensel/paper/The Shared Decision Making Frontier a Feasibility and Usability Study for Managing Non-Critical Chronic Illness by Combining Behavioural & Decision Theory with Online Technology.pdf},

year  = {2015},

date = {2015-09-19},

booktitle = {MEDINFO 2015: eHealth-enabled Health},

abstract = {Objective: To determine if shared decisions for managing non-critical chronic illness, made through an online biomedical technology intervention, proves feasible and usable. The technology intervention incorporates behavioural and decision theory to increase patient engagement, and ultimately long term adherence to health behaviour change.



Method: We devised the iheart web intervention as a “proof of concept” in five phases: 1) conceptual, 2) design, 3) application development, 4) testing and 5) study assessment. The implementation incorporates the Vaadin web application framework, Drools, EclipseLink and a MySQL database.



Results and discussion: Two-thirds of the study participants favoured the technology intervention, based on Likert-scale questions from a post-study questionnaire. Qualitative analysis of think aloud feedback, video screen captures and open-ended questions from the post-study questionnaire, uncovered six main areas or themes for improvement.  



Conclusion: Online shared decisions for managing a non-critical chronic illness proved feasible and usable through the iheart web intervention. Areas needing improvement have been identified for the next application revision. An efficacy study is recommended as a next step.

},

keywords = {Biomedical Technology Intervention, Choice Architecture, Chronic Illness, Shared Decision Making},

pubstate = {published},

tppubtype = {inproceedings}

}