Samina Abidi

@inproceedings{Abidi2016b,

title = {A Digital Health System to Assist Family Physicians to Safely Prescribe NOAC Medication},

author = {Samina Raza Abidi and Jafna Cox and Ashraf Abusharekh and Nima Hashemian and Syed Sibte Raza Abidi},

doi = {10.3233/978-1-61499-678-1-519},

year  = {2016},

date = {2016-08-15},

booktitle = {Exploring Complexity in Health: An Interdisciplinary Systems Approach. 26th European Medical Informatics Conference (MIE2016), Munich},

volume = {228},

pages = {519-523},

publisher = {IOS Press},

series = {Studies in Health Technology and Informatics},

abstract = {Atrial Fibrillation (AF) is the most common cardiac arrhythmia. Generally, the therapeutic options for managing AF include the use of anticoagulant drugs that prevent the coagulation of blood. New Oral Anticoagulants (NOACs) are not optimally prescribed to patients, despite their efficacy. In Canada, NOAC medications are not directly available to patients who belong to provincial benefits programs, rather a NOAC special authorization process establishes the eligibility of a patient to receive a NOAC and be paid by the provincial Pharmacare program. This special authorization process is tedious and paper-based which inhibits physicians to prescribe NOAC leading to suboptimal AF care to patients. In this paper, we present a computerized NOAC Authorization Decision Support System (NOAC-ADSS), accessible to physicians to help them (a) determine a patient eligibility for NOAC based on Canadian AF clinical guidelines, and (b) complete the special authorization form. We present a semantic web based system to ontologically model the NOAC eligibility criteria and execute the knowledge to determine a patient NOAC eligibility and dosage},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Digital Health},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mohammadhassanzadeh2016,

title = {A Semantic Web-based Approach to Plausible Reasoning for Improving Clinical Knowledge Engineering},

author = {Hossein Mohammadhassanzadeh and William Van Woensel and Samina Raza Abidi and Syed Sibte Raza Abidi},

year  = {2016},

date = {2016-02-24},

urldate = {2016-02-24},

booktitle = {IEEE International Conference on Biomedical and Health Informatics, Las Vegas},

abstract = {In this paper, we present a semantic web based knowledge engineering approach to extend the coverage of medical knowledge-based systems in order to solve complex medical queries that demand the integration of deterministic and plausible knowledge.  We leverage plausible reasoning mechanisms, which exploit associations between the underlying domain-specific data, as well as tentative domain knowledge, to extend the coverage of a medical knowledge base. We demonstrate that Semantic Web technologies, due to their efficient solutions for federated data management and built-in DL-based inferencing methods, offer useful opportunities to support plausible reasoning for medical decision support tasks. We evaluated our multi-strategy medical reasoning approach using real-world medical data. Our results illustrate that plausible reasoning improved the knowledge coverage of the original medical knowledge base by 10-12%, and in turn helped to solve complex disease diagnostic queries.},

keywords = {Clinical Decision Support Systems, Plausbile Reasoning, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/WoenselMAA15,

title = {Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases},

author = {William Van Woensel and Hossein Mohammadhassanzadeh and Samina Raza Abidi and Syed Sibte Raza Abidi},

url = {http://ceur-ws.org/Vol-1428/BDM2I_2015_paper_8.pdf},

year  = {2015},

date = {2015-10-11},

booktitle = {Proceedings of International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I2015)},

keywords = {Health Informatics, Knowledge Based Systems, Ontology, Semantic Web},

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}

}

@inproceedings{DBLP:conf/medinfo/WoenselRAA15,

title = {A Mobile and Intelligent Patient Diary for Chronic Disease Self-Management},

author = {William Van Woensel and Patrice C. Roy and Samina Raza Abidi and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-564-7-118},

doi = {10.3233/978-1-61499-564-7-118},

isbn = {978-1-61499-563-0},

year  = {2015},

date = {2015-08-23},

booktitle = {MEDINFO 2015: eHealth-enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics, Sao Paulo, Brazil},

pages = {118--122},

publisher = {IOS Press},

keywords = {Chronic Disease Management, Mobile Health, Patient Diary, Patient Empowerment, Self-Management},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/medinfo/JafarpourAAA15,

title = {INITIATE: An Intelligent Adaptive Alert Environment},

author = {Borna Jafarpour and Samina Raza Abidi and Ahmad Marwan Ahmad and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-564-7-285},

doi = {10.3233/978-1-61499-564-7-285},

isbn = {978-1-61499-563-0},

year  = {2015},

date = {2015-08-23},

booktitle = {MEDINFO 2015: eHealth-enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics, Sao Paulo, Brazil},

pages = {285--289},

publisher = {IOS Press},

keywords = {Alert Fatigue, Clinical Decision Support Systems, Knowledge Management},

pubstate = {published},

tppubtype = {inproceedings}

}