Portrait de Samira Abbasgholizadeh-Rahimi

Samira Abbasgholizadeh-Rahimi

samira.rahimi@mila.quebec
Professeure adjointe, McGill University, Département de génie électrique et informatique
Sujets de recherche
Apprentissage automatique médical
Graphes de connaissances
Traitement du langage naturel
Site web
LinkedIn
X

Biographie

Samira Abbasgholizadeh-Rahimi (B. Ing., Ph. D.) est titulaire de la Chaire de recherche du Canada sur les soins de santé primaires numériques avancés et professeure adjointe au Département de médecine familiale de l'Université McGill et à Mila – Institut québécois d'intelligence artificielle.

Elle est également scientifique affiliée à l'Institut Lady Davis de recherches médicales de l'Hôpital général juif, présidente élue de la Société canadienne de recherche opérationnelle et directrice d'Intelligence artificielle en médecine familiale (AIFM).

Bénéficiant de sa formation interdisciplinaire, ses travaux portent sur le développement et la mise en œuvre de technologies de santé numérique avancées, telles que les outils d'aide à la décision basés sur l'IA, dans les soins de santé primaires. Ses recherches sont consacrées à l'amélioration de la prévention et de la gestion des maladies chroniques, dont les maladies cardiovasculaires, avec un accent particulier sur les populations vulnérables.

Les travaux qu’elle a menés en tant que chercheuse principale ont été financés par le Fonds de recherche du Québec - Santé (FRQS), le Conseil de recherches en sciences naturelles et en génie (CRSNG), Roche Canada, la Fondation Brocher (Suisse) et la Stratégie de recherche axée sur le patient (SRAP) - Instituts de recherche en santé du Canada (IRSC).

Elle a reçu de nombreux prix, notamment le prix New Investigator Primary Care Research 2022 du North American Primary Care Research Group (NAPCRG), qui récompense les contributions exceptionnelles de nouveaux chercheurs dans le domaine de la recherche sur les soins primaires.

Étudiants actuels

Sydney Keyamo
Maîtrise recherche - McGill
Shayan nejadshamsi
Stagiaire de recherche - McGill
Haowei Qiu
Maîtrise professionnelle - McGill
Gauri Sharma
Maîtrise recherche - McGill
Superviseur⋅e principal⋅e :
AJung Moon
Github
Google Scholar
Chetan Shirvankar
Doctorat - McGill
chetan.shirvankar@mila.quebec

Publications

Desirable features in a decision aid for prenatal screening – what do pregnant women and their partners think? A mixed methods pilot study
Titilayo Tatiana Agbadje
Samira Abbasgholizadeh-Rahimi
Mélissa Côté
Andrée-Anne Tremblay
Mariama Penda Diallo
Hélène Elidor
Alex Poulin Herron
Codjo Djignefa Djade
France Légaré
Background To help pregnant women and their partners make informed value-congruent decisions about Down syndrome prenatal screening, our te… (voir plus)am developed two successive versions of a decision aid (DAv2017 and DAv2014). We aimed to assess pregnant women and their partners’ perceptions of the usefulness of the two DAs for preparing for decision making, their relative acceptability and their most desirable features. Methods This is a mixed methods pilot study. We recruited participants of study (women and their partners) when consulting for prenatal care in three clinical sites in Quebec City. To be eligible, women had to: (a) be at least 18 years old; (b) be more than 16 weeks pregnant; or having given birth in the previous year and (c) be able to speak and write in French or English. Both women and partners were invited to give their informed consent. We collected quantitative data on the usefulness of the DAs for preparing for decision making and their relative acceptability. We developed an interview grid based on the Technology Acceptance Model and Acceptability questionnaire to explore their perceptions of the most desirable features. We performed descriptive statistics and deductive analysis. Results Overall, 23 couples and 16 individual women participated in the study. The majority of participants were between 25 and 34 years old (79% of women and 59% of partners) and highly educated (66.7% of women and 54% of partners had a university-level education). DAv2017 scored higher for usefulness for preparing for decision making (86.2 ± 13 out of 100 for DAv2017 and 77.7 ± 14 for DAv2014). For most dimensions, DAv2017 was more acceptable than DAv2014 (e.g. the amount of information was found “just right” by 80% of participants for DAv2017 against 56% for DAv2014). However, participants preferred the presentation and the values clarification exercise of DAv2014. In their opinion, neither DA presented information in a completely balanced manner. They suggested adding more information about raising Down syndrome children, replacing frequencies with percentages, different values clarification methods, and a section for the partner. Conclusions A new user-centered version of the prenatal screening DA will integrate participants’ suggestions to reflect end users’ priorities.
2020-05-08
(publié)
doi.org
Suitable e-Health Solutions for Older Adults with Dementia or Mild Cognitive Impairment: Perceptions of Health and Social Care Providers in Quebec City
Marie-Pierre Gagnon
Mame Ndiaye
Mylène Boucher
Samantha Dequanter
Ronald Buyl
Ellen Gorus
Anne Bourbonnais
Anik Giguère
Samira Abbasgholizadeh-Rahimi
: e-Health solutions offer a potential to improve the quality of life and safety of older adults with dementia or mild cognitive impairment … (voir plus)(MCI). In making better decisions for using eHealth technologies, health professionals should be aware and well informed about existing tools. Recent research shows the lack of knowledge on these technologies for older adults with dementia. In Quebec, current market offer for these technologies is supply-based, and not need-based. This study is part of a larger project and aims to understand the perceptions and needs of health and social care providers regarding e-health technologies for older adults with dementia or MCI. One focus group was carried out with six health and social care professionals at the St-Sacrement Hospital in Quebec City, Canada. The focus group enquired about the use of Information and Communication Technology (ICT) with older adults with cognitive impairment. Relevant examples of ICTs were presented to assess their knowledge level. The discussion was tape-recorded and transcripts were coded using the Nvivo software. Results revealed that aside from fall safety technologies, there is a lack of knowledge about other e-Health technologies for this population. Respondents acknowledged the value of ICTs and were willing to recommend some of them. Economic reasons, blind trust on ICTs and lack of confidence in patients’ capacity to use the solutions were the major limitations identified.
2020-05-03
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health (publié)
doi.org