From reactive to proactive
Use better information to act earlier, before avoidable illness becomes harder to change.
Thoughts & reflections
Ideas for the next era of healthcare.
Perspectives shaped by more than two decades across clinical medicine, health-system leadership, digital health and research—examining how personalized medicine and responsible augmented intelligence can make care more proactive, precise, connected and human.
A working thesis
Five shifts that matter
From average to individual
Design care around the person, their context and the evidence most relevant to them.
From tools to systems
Connect AI with workflows, knowledge, governance and the people responsible for care.
From automation to augmentation
Use technology to extend clinical capability while keeping judgement, trust and humanity visible.
From fragmented data to a comprehensive picture
Bring five domains of information together to enable comprehensive personalized care.
- Health & clinical
- Omics
- Lifestyle
- Environment
- Social determinants
Journal
Thoughts & reflections
Building the foundations for holistic personalized medicine
At FHLIP 2026, I presented PERSOVENTA and a model for bringing five domains of information together for more holistic personalized medicine.
Read the reflection
Personalized care cannot be built from one data stream or one isolated tool. It needs a practical architecture that connects health and clinical information, omics, lifestyle, environment and social determinants—then translates that fuller picture into evidence-informed prevention and care.
Designing AI innovation around compassionate care
The AMS-Fitzgerald Fellowship created a sustained space to learn and exchange ideas with leaders and experts about designing innovation programmes for emerging AI-enabled tools.
Read the reflection
AI innovation should begin with people and the relationships that make care possible. Human-centred design, compassion and responsible evaluation must shape what is developed, how it is introduced and whether it earns a place in practice.
Making it personal: AI, knowledge and the future of healthcare
A conversation about why the next generation of healthcare technology must become more useful, contextual and personal for clinicians and patients.
Read the reflection
AI can process information at scale, but better care also depends on trusted knowledge, clinical context, equitable design and thoughtful implementation. Personalization is not a feature added at the end; it is the organizing principle.
Imagining a fully AI-integrated primary-care journey
At HEAL, I shared a future-state model of responsible AI supporting patients and clinicians before, during and after a primary-care visit.
Read the reflection
The goal is not to surround clinicians with disconnected tools. It is to build a coherent care journey in which AI supports access, preparation, conversation, documentation, decision support, follow-up and learning—while clinical judgement, governance and accountability remain visible.
Personalized medicine as the future of care
A discussion of the right intervention—diagnosis, treatment or prevention—for the right person at the right time.
Read the reflection
Personalized medicine should not be limited to genomics or a small number of specialized therapies. Its deeper promise is a care model that brings together clinical information, behaviour, environment and context to make decisions more precise and preventive.
Personalized prevention is changing healthcare
A conversation about data collection, knowledge foundations and the path toward individualized preventive recommendations.
Read the reflection
Prevention becomes personal when the health system can understand risk across domains and translate that understanding into practical, evidence-informed action. That requires better information architecture—not only prediction.
Digital health, policy and responsible innovation
A wide-ranging discussion connecting digital-health practice, personalized medicine, education, research and interdisciplinary leadership.
Read the reflection
Innovation becomes meaningful when clinical needs, evidence, policy, education and implementation are treated as one system. Isolated technology decisions rarely produce lasting transformation.
Showcasing preventive-assessment research at HIMSS
A field reflection on sharing the Preventive Assessment Tool initiative and meeting potential collaborators across the digital-health community.
Read the reflection
Presenting work publicly is not only dissemination. It is an opportunity to test the clarity of the model, hear new questions and find the collaborators needed to strengthen it.
What multimodal AI may teach us about better care
Reflections from a symposium on combining imaging, electronic records, biosensors and other forms of health information.
Read the reflection
Multimodal AI may help health systems see relationships that are difficult to detect within separate data silos. Its promise must be matched by validation, data quality, governance and careful definition of the clinical decision it is meant to support.
Building a comprehensive vision for personalized medicine
Beginning with a 2022 white paper and extending into a 2023 conference presentation, I shared a model that connects clinical, omics, lifestyle, environmental and social determinants of health data.
Read the reflection
Personalized medicine should not be limited to genomics. I proposed social determinants of health as a fifth essential data domain within a Canadian framework, so care can reflect the conditions in which people live as well as their biology and clinical history.