Insights from the Technology Now episode “Why is data so important in healthcare?”, published March 26, 2026.
In "Why is data so important in healthcare?" (Technology Now, March 2026), decades of clinical research relied on an exclusively male baseline, creating life-threatening blind spots in modern healthcare. Lisa Marceau reveals how moving from episodic doctor visits to continuous, personalized data ownership is the only…
In "Why is data so important in healthcare?", A regulatory guideline that prohibited women of childbearing age from participating in early-stage clinical trials. It created a multi-decade void in pharmacological data, meaning most modern drugs were never originally tested for efficacy or side effects in women.
In "Why is data so important in healthcare?", The shift from treating health as a series of isolated events (doctor visits when symptoms appear) to a continuous stream of data tracking. This matters because it allows for the identification of trends and early risk factors that are invisible during a single 15-minute…
In "Why is data so important in healthcare?", The philosophy that artificial intelligence is a foundational tool for efficiency and scaling, not the product itself. In healthcare, this means using AI to automate the 'lower risk' cases and administrative tasks so human clinicians can focus on high-complexity patient…
Decades of clinical research relied on an exclusively male baseline, creating life-threatening blind spots in modern healthcare. Lisa Marceau reveals how moving from episodic doctor visits to continuous, personalized data ownership is the only way to dismantle systemic bias and prevent misdiagnoses. Closing this gap isn't just about equity; it's a biological necessity for survival.
Topics: HealthTech, DataEquity, MedicalInnovation
