Before you build the model: how do you define the clinical problem?

Let’s talk fundamentals.

When working on healthcare analytics or AI projects, how do you approach:

• Target definition?
• Label reliability?
• Temporal validation?
• Clinical stakeholder input?
• Safety thresholds?

Too often, we focus on algorithms before clarifying the clinical objective.

This thread is for sharing frameworks, pitfalls, and real-world lessons from applied healthcare AI.

Clinicians, analysts, researchers — what’s your process?