Well, Actually: Your AI Assistant Is Not Your Colleague Yet, but 70% of Doctors Are Pretending Otherwise
Healio surveyed health care providers across multiple specialties and found that more than 70% now use AI professionally. Only 18% reported strong trust in AI for clinical applications. The gap between adoption and trust suggests users are experimenting without fully committing.
This teaches you that tool adoption and tool trust are separate variables. You can integrate AI into your workflow incrementally while maintaining appropriate skepticism. The principle here is calibrated reliance: use the tool for appropriate tasks rather than abdicating judgment entirely.
Healio conducted the survey of health care providers across various medical specialties. The results indicate broad experimentation with AI in clinical settings despite persistent trust deficits.
Step 1: Open a consumer AI chatbot and ask it to summarize a recent medical article or health topic you partially understand. Compare its output against your own knowledge. Step 2: Identify one specific claim the AI made that you cannot verify independently. Note this gap. Step 3: Repeat the same query with a deliberately ambiguous prompt, then observe how the AI handles uncertainty. Expected outcome: you will see firsthand how fluency does not equal reliability.