Doctors Were Ignoring AI to Confirm their Biases


Doctors were using AI-powered EKG software to confirm what they already believed, not to discover new insights.

This was data scientist Dr Russell Walker's eye-opening discovery when working in the medical equipment industry.

Physicians didn't want the sophisticated diagnostic capabilities his team had built - they just wanted validation of their existing interpretations.

And if they didn't get that confirmation? They'd send the patient to a cardiologist anyway.

That's the scary part - even life-or-death medical decisions suffer from cognitive bias.

Here's the thing...

Your stakeholders are doing the same thing with your data.

They may claim to be "data-driven", but stakeholders unconsciously filter information through their existing beliefs - turning your analysis into a "numerical Rorschach test."

The solution isn't better data science- it's better psychology.

In the latest episode of Value Driven Data Science, Russell joins me to reveal practical techniques for identifying and overcoming the cognitive biases that sabotage data-driven decision making.

This (9 minute) Value Boost episode reveals:

  1. How confirmation bias transforms data analysis into a "numerical Rorschach test" where stakeholders see only what confirms their existing beliefs [02:59]
  2. The "verbal jujitsu" technique that acknowledges preconceptions without confrontation, allowing stakeholders to save face while guiding them toward data-driven conclusions [03:47]
  3. Why recency bias makes yesterday's angry customer complaint outweigh months of systematic data analysis in executive decision making [05:24]
  4. The pre-meeting strategy that helps you anticipate and prepare for stakeholder blind spots before they derail your presentation [07:00]

Outsmart your stakeholders' cognitive blind spots.

🎧 Listen now on Apple Podcasts or Spotify, or click the link below:
Episode 75: The Psychology Hack That Gets Your Data Insights Heard

Talk again soon,

Dr Genevieve Hayes

Data Science Impact Algorithm

Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.

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