Oct. 16, 2026

Titans of Private Practice: AI Was Supposed to Save Time. Did It?

Titans of Private Practice: AI Was Supposed to Save Time. Did It?
Titans of Private Practice: AI Was Supposed to Save Time. Did It?
The Operator | Healthcare Business
Titans of Private Practice: AI Was Supposed to Save Time. Did It?

Healthcare AI promises to give clinicians their time back. But what should they actually get back?

Less documentation? Earlier evenings? More time with patients? A better experience delivering care?

Recorded live at Titans of Private Practice, Jimmy McKay sits down with Pedro Teixeira of Prompt Health for The Operator with Larry Benz to explore what happens when healthcare technology moves beyond the promise and into daily clinical practice.

Pedro has been working with machine learning since 2009. His perspective is that successful AI adoption isn't about the sophistication of the technology. It's about whether that technology makes a meaningful difference in people's lives.

For physical therapists, that often means having more time to connect with patients and focus on the work that brought them into the profession.

But practice owners need more than positive feedback or impressive software demonstrations. They need to know whether the tools they're implementing are actually working.

Key ideas from the episode:

  • Time back for what? Why the value of AI isn't simply saving minutes, but what clinicians can do with those minutes.
  • Measure the actual impact: How documentation sign-off times, after-hours work, and compliance metrics can help evaluate technology.
  • Adoption is part of the story: Why a tool can't deliver value if clinicians never get around to using it.
  • Listen when something isn't working: How user feedback and measurable results help identify problems and improve the experience.
  • Protect the human connection: Why technology should support the clinician-patient relationship rather than replace it.
  • Choice matters: How giving therapists control over whether they use a tool can support meaningful adoption.
  • Solve today's problems: Why demonstrating something that works now can be more valuable than promising future capabilities.

The central challenge for healthcare operators is to stop evaluating technology based solely on what it can do and start evaluating it based on what it gives people back.

Because the goal isn't more AI in healthcare.

It's better healthcare.

Prompt Health: https://www.prompthealth.com/

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