Publications by authors named "Moustafa Laymouna"
Background: The COVID-19 pandemic was an unprecedent challenge to public health systems, with 95% of cases in Quebec sent home for self-isolation. To ensure continuous care, we implemented an intervention supported by a patient portal (Opal) to remotely monitor at-home patients with COVID-19 via daily self-reports of symptoms, vital signs, and mental health that were reviewed by health care professionals.
Objective: We describe the intervention's implementation, focusing on the (1) process; (2) outcomes, including feasibility, fidelity, acceptability, usability, and perceived response burden; and (3) barriers and facilitators encountered by stakeholders.
Article Synopsis
- MARVIN is an AI-based chatbot designed to provide reliable self-management information for people living with HIV, assessed for feasibility, usability, and acceptability in a study at McGill University Health Centre.
- Participants engaged in 20 conversations over 3 weeks, with results indicating that usability and acceptability were generally positive, with mean usability surpassing the target.
- Key benefits included MARVIN's reliable information, easy access, and emotional safety; however, challenges such as limited understanding and platform issues were highlighted, suggesting areas for improvement.
Article Synopsis
- Pharmacists require updated knowledge and decision-making tools for effective HIV care; thus, MARVIN-Pharma, an AI-based chatbot, is being developed to assist them.
- A survey conducted among 41 pharmacists in Québec revealed moderate self-assessed knowledge of HIV and a favorable attitude towards HIV care, but limited involvement due to barriers like time constraints and insufficient resources.
- Although pharmacists showed some acceptance of MARVIN-Pharma, their engagement in its development is crucial for ensuring its future success and usability in addressing HIV care challenges.
Background: Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements in artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various health care needs. However, no comprehensive synthesis of health care chatbots' roles, users, benefits, and limitations is available to inform future research and application in the field.
View Article and Find Full Text PDFAdapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study).
JMIR Res Protoc
February 2024
Background: Artificial intelligence (AI)-based chatbots could help address some of the challenges patients face in acquiring information essential to their self-health management, including unreliable sources and overburdened health care professionals. Research to ensure the proper design, implementation, and uptake of chatbots is imperative. Inclusive digital health research and responsible AI integration into health care require active and sustained patient and stakeholder engagement, yet corresponding activities and guidance are limited for this purpose.
View Article and Find Full Text PDFBackground: Like other chronic viral illnesses, HIV infection necessitates consistent self-management and adherence to care and treatment, which in turn relies on optimal collaboration between patients and healthcare professionals (HCPs), including physicians, nurses, pharmacists, and clinical care coordinators. By providing people living with HIV (PLHIV) with access to their personal health information, educational material, and a communication channel with HCPs, a tailored patient portal could support their engagement in care. Our team intends to implement a patient portal in HIV-specialized clinics in Canada and France.
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