How to Make the Wrong Data Right: Addressing Hidden Bias in Healthcare
· 50 min · S11 E3
Episode How to Make the Wrong Data Right: Addressing Hidden Bias in Healthcare
Modern technology doesn’t run on code alone, it runs on data. Generated constantly and often invisibly, it shapes how our health is understood, and few people understand this better than Sheena Franklin.
Joining Matthew Roberts in this episode, Sheena is a digital health founder, women’s health advocate, and recognized voice in inclusive data and AI policy. Together, they unpack the historical biases embedded in clinical research, the challenges of unstructured and siloed healthcare data, and the growing role of wearables, AI, and regulation in shaping modern care.
The conversation looks beyond innovation to stewardship, examining who owns health data, how it is governed, and why women’s health has become a catalyst for broader transformation across the healthcare ecosystem.
Technology is only as powerful as the care and consideration behind it—this episode is a reminder of what’s at stake, and who the future of healthcare is really being built for.
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