From Scaling the Preventive Assessment Tool to a Holistic Personalized Preventive Plan
Abstract
Canada's shift toward preventive, precision medicine is stymied by siloed data, misaligned incentives, and workflow burdens. This study draws on multi-sector key informant interviews and applies an adapted House of Quality method to align divergent priorities and inform the design of the Preventive Assessment Tool (PAT). Analysis identified six leading requirements: interoperability and customization, workflow and automation improvements, predictive analytics, AI-enabled information management, compliance with industry standards, and sustainable revenue. Three key implementation barriers were also highlighted: navigating digital health regulations, demonstrating payer value, and reducing the cost of reaching at-risk patients. To address these challenges, we propose a regulatory-aware, "minimal-standard, maximum-flexibility" architecture that embeds preventive assessments directly into EMR workflows, enabling seamless data exchange, reducing clinician burden, and supporting personalized interventions. By turning interoperability and regulatory barriers into enablers of innovation, this stakeholder validated architecture provides a scalable path to advancing connected, preventive care across Canada.
Fields of Study & Subjects
Electronic Health Records Systems
Technology and Human Factors in Education and Health
Artificial Intelligence in Healthcare and Education
Publication details
- Journal / source
- Studies in health technology and informatics
- Volume
- 334
- Pages
- 9–13
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Book chapter