Predictive Health Scoring and the Right to an Open Future
Predictive Health Scoring and the Right to an Open Future
When the Machine Disagrees: Patient Autonomy vs. Algorithmic Recommendations
When the Machine Disagrees: Patient Autonomy vs. Algorithmic Recommendations
Early Warning Scores and Machine Learning: Building Deterioration Models That Work
Early Warning Scores and Machine Learning: Building Deterioration Models That Work
Health Data Portability Is a Clinical Problem, Not an IT Problem
Health Data Portability Is a Clinical Problem, Not an IT Problem
Who Owns the Digital Patient? Data Sovereignty in Health AI
Who Owns the Digital Patient? Data Sovereignty in Health AI
The Nursing Shortage and What Technology Won't Fix
Canada is short roughly 60,000 registered nurses. The number has been climbing since before the pandemic, and the pandemic made it worse. Every few months, a health minister or hospital CEO points to technology as part of the solution. Telehealth expansion. Task automation. AI-assisted triage. These are real
The Liability Gap: Who Pays When Autonomous Clinical Systems Fail?
The Liability Gap: Who Pays When Autonomous Clinical Systems Fail?
Closed-Loop Insulin Delivery: What Autonomy Actually Looks Like
Closed-Loop Insulin Delivery: What Autonomy Actually Looks Like
Informed Consent for Algorithmic Care: What Patients Aren't Being Told
Informed Consent for Algorithmic Care: What Patients Aren't Being Told
The Triage Algorithm Problem: When Software Decides Who Waits
The Triage Algorithm Problem: When Software Decides Who Waits
Remote Patient Monitoring After the Pandemic: Who Benefits?
During COVID-19, remote patient monitoring went from a nice-to-have to a baseline expectation. Health systems bought pulse oximeters and blood pressure cuffs by the thousands. They built dashboards, hired coordinators, and signed contracts with platform vendors who promised to keep patients out of hospital beds. The crisis