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129 million patient records just became accessible to pharma AI.

Oracle dropped a bombshell this week.

Their new Life Sciences AI Data Platform, announced January 29, connects something unprecedented: real-world data from 129 million de-identified EHR records directly to pharmaceutical R&D teams.

Think about what this means:

• Clinical trials could identify eligible patients in days, not months
• Drug safety signals detected years earlier through real-world evidence
• Rare disease research finally has the scale it needs
• Post-market surveillance happens in real-time, not retrospectively

But here’s what makes me pause.

We’re handing massive amounts of patient data, even de-identified, to an industry that hasn’t always prioritized patient interests first.

Yes, the potential is enormous. Finding the next breakthrough therapy faster. Understanding why drugs work for some patients but not others. Preventing the next Vioxx before it happens.

Yet I can’t help wondering: Where’s the patient voice in this?

Who ensures this data serves public health, not just profit margins? How do we guarantee insights from our collective medical histories benefit everyone, not just those who can afford cutting-edge treatments?

The technology is revolutionary. The governance? That’s still stuck in the past.

Healthcare leaders, we need to shape this conversation now. Before the algorithms decide for us.

What safeguards would you demand before supporting this level of data sharing?

♻️ Repost if pharma AI needs patient-centered governance
👉 Follow me, Jonathan Govette, for daily, real-time updates on healthcare technology and business news. LinkedIn Profile: https://www.linkedin.com/in/jonathangovette/

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