Automation was sold as a way to scale good experiences. It scales bad ones just as efficiently.

Healthcare has spent the last decade deploying chatbots, portals, AI-generated content, and personalization engines in the name of patient experience. The ROI case was built on efficiency: lower cost per interaction, faster throughput, reduced call center volume. What was never put on the balance sheet is what happens to patient trust when those systems fail — and they fail regularly, quietly, and without anyone in the organization knowing it happened.

That's trust debt. Every time an automated system fails a patient and the patient absorbs the cost silently — closes the portal, hangs up, stops engaging — a withdrawal is made from an account most health systems never knew they had. It doesn't show up in satisfaction scores. It shows up in churn, in rising call volumes that automation was supposed to reduce, in patients who schedule once and don't come back.

Chris Boyer and Reed Smith work through where the debt is accumulating right now — and where automation is actually doing the opposite:

Why AI-generated health content optimized for fluency, not accuracy, is seeding doubt in the patients most likely to engage with it
How portal adoption metrics are measuring the wrong signal — and why enrollment without satisfaction is just a larger audience for your frustration
Where DXP personalization crosses from service into surveillance — and how thin consent frameworks are accelerating that perception
What trust-building automation actually looks like, and what it has in common with the best human interactions in healthcare
The three questions every team should ask before the next automated touchpoint goes live

The research is catching up to what practitioners already sense. AI safety disclaimers in patient-facing responses dropped from 26% in 2022 to under 1% in 2025. Sixty-one percent of patients say they'd consider switching providers over a better digital experience. And the 2025 Edelman Trust and Health report found that no institution — not business, not government, not NGOs — is trusted to address patient needs. Healthcare is operating in a trust deficit it didn't create alone, but automation is making it worse in ways that are largely invisible to the organizations doing it.

The question isn't whether to automate. It's whether you've been honest about what you're actually scaling.

Mentions from the Show:

TP456: When AI Speaks for the Patient — touchpoint.health
TP460: When Digital Speaks for the Patient — touchpoint.health
TP470: When AI Becomes the First Stop for Care — touchpoint.health
AI errors in healthcare — Healthcare Brew, August 2025: https://www.healthcare-brew.com/stories/2025/08/20/healthcare-execs-ai-errors
Declining medical safety messaging in AI — npj Digital Medicine, October 2025: https://www.nature.com/articles/s41746-025-01943-1
ECRI Top 10 Patient Safety Concerns 2025: https://www.medtechdive.com/news/ecri-patient-safety-report-2025-ai/742114/
ONC Patient Portal Access Data Brief 2024: https://healthit.gov/data/data-briefs/individuals-access-and-use-patient-portals-and-smartphone-health-apps-2024/
Experian Health patient portal switching stat: https://www.experian.com/healthcare/solutions/patient-engagement-solutions
2025 Edelman Trust Barometer: Trust and Health: https://www.edelman.com/trust/2025/trust-barometer/special-report-health
2026 Edelman Trust Barometer: https://www.edelman.com/trust/2026/trust-barometer
Reed Smith on LinkedIn: https://www.linkedin.com/in/reedtsmith/
Chris Boyer on LinkedIn: https://www.linkedin.com/in/chrisboyer/
Chris Boyer website: http://www.christopherboyer.com/
Chris Boyer on BlueSky: https://bsky.app/profile/chrisboyer.bsky.social
Reed Smith on BlueSky: https://bsky.app/profile/reedsmith.bsky.social

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