Podcast

How to Make the Wrong Data Right: Addressing Hidden Bias in Healthcare

Matthew Roberts, Head of Customer Marketing, Amdocs

S11 E3

29 Jan 2026

Jan 29, 2026
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.

“It goes back to the age of the dawn of medicine. If all you were studying were men because it was more efficient and it cost less, then women weren’t included. Things like hormones, life stages of women were considered as noise and interference. This is what we're working off of. And the years and years of women complaining compounded with heart disease being the number one killer of women across the world – therein lies the problem. And you're teaching doctors, not just training technology.”