Quebec
SmartCare
Consortium
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Implementing SmartCare
Connecting the technologies of our partners
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The Quebec SmartCare Consortium is bringing together key Quebec players in patient-centered data, mobile health technologies (mHealth), and AI research in order to demonstrate the value of SmartCare.
Our SmartCare implementation is built on Opal’s patient information exchange technology (the Opal-PIE).
The Opal-PIE will share hospital-sourced data with patients and patient-sourced data with clinicians.
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By connecting the wearable technologies of VitalTracer and iMD Research to Opal, clinicians will be able to remotely monitor patients at home.
Patients will be able to participate in research by sharing their de-identified data.
Researchers will be able to work with industry partners to perform real-world evidence research using artificial intelligence.
Anticipated Outcomes
Demonstrating value
By joining forces, the partners of the Quebec SmartCare Consortium will:
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Validate and showcase their diverse and complementary technologies
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Provide remote care to high-risk cancer and biotherapy patients
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Gain new insights from patient-generated data using artificial intelligence
By demonstrating the value of SmartCare we aim to help transform the Quebec healthcare system and increase the competitiveness of our partners' complementary technologies.
Patient-Centered Data
Breaking down digital siloes
The Quebec SmartCare Consortium is committed to the concept of patient-centered data.
The partners recognize that the patient her/himself is the single unifying element of their own care. While clinicians work in siloed disciplines, patients always are, and always will be, at the centre of their own healthcare experience.
To truly break down digital silos in the healthcare system, we believe that all healthcare data should be at this central point, with the patient.
Structuring Effect
Working together to demonstrate SmartCare
The Quebec SmartCare Consortium partners are providing their lived experiences, expertise, and complementary technologies to generate and consume healthcare data using mHealth and AI.
To do so successfully, the partners will operate within a solid governance framework with a continuous evaluation process in place to generate new knowledge, and build commercial and socio-economic value.
All partners play an important and active role in the overall structure.
