The AI Healthcare Tools That Are Hype vs. the Ones That Actually Work
The AI-for-healthcare market has genuine substance mixed with a lot of overpromising, and separating the two doesn't require deep technical expertise — it requires asking the right skeptical questions.
Tools that tend to deliver real value: those solving a specific, measurable administrative problem (missed calls, no-shows, follow-up) with clear before/after data available. Tools that tend to be more hype than substance: anything vaguely promising to "transform your practice with AI" without specifying which problem it solves or how results are measured, and anything claiming AI capabilities that sound closer to science fiction than practical, demonstrable technology available today.
The honest test: can the vendor show you real, specific, verifiable outcomes from a comparable practice, or only a polished demo and vague testimonials? The former is a much stronger signal than the latter.
Frequently Asked Questions
How do I tell if an AI healthcare tool is legitimate or overhyped?
Ask if it solves a specific, measurable problem with verifiable before/after data from real practices, versus vague promises to "transform your practice" without specifics.
What's a red flag when evaluating AI healthcare vendor claims?
Claims that sound closer to science fiction than practical, demonstrable technology, or an inability to show real, verifiable results from comparable practices — relying instead on a polished demo alone.
Dr. Andre (The other one without the hit records) lol 😄