We often operate under the illusion that “data is objective.” Psychology teaches us otherwise. The Framing Effect dictates that how a data point is presented—its “frame”—radically alters how that data is interpreted and acted upon.
The Framing Effect: Stress-Test Context
We often operate under the illusion that “data is objective.” Psychology teaches us otherwise. The Framing Effect dictates that how a data point is presented (its “frame”) radically alters how that data is interpreted and acted upon.
Consider a simple Clinical Decision Support alert. An alert that says a treatment has a “90% Survival Rate” is statistically identical to one that says it has a “10% Mortality Rate.” Yet, the brain processes the positive frame as “Safe” and the negative frame as “Danger.”
Informatics isn’t about the data; it’s about managing the cognitive response to that data. Every alert, every dashboard, every table should be evaluated to ensure it is telling the right story for the intended response.
When we follow data blindly, we are often just following an arbitrary graphical boundary. Informatics isn’t about the data; it’s about managing the cognitive response to that data. Every alert, every dashboard, every table should be evaluated to ensure it is telling the right story for the intended response.
It isn’t just about transforming data into information and wisdom—it’s about creating the environment for actionable insights to have the intended outcome.
The Pitfall: Binary Blindness
Avoid “Binary Blindness.” To operationalize this, never accept a high-stakes dashboard or CDS alert at face value. You must “Stress-Test the Frame”: reverse the statistics (90% survival → 10% mortality), invert the chart, and see if your clinical logic creates the outcomes expected. If the answer changes, your frame is a dangerous delusion.