From time to time, we report out notable data and insights about day-to-day care that we learn in the Lumeris Lab. Listening to 400 voices across the U.S. sharpened our view of where AI and user experience can help deliver value and drive adoption of Primary Care as a Service. We keep findings like these circulating across product and design to keep our teams who build Tom focused on creating effective technology that serves Primary Care Physicians and their patients. Here a few of the highlights we’re discussing inside the Lab.
Methodology
28-question survey to U.S. adults (18+), fielded via a research firm in Oct 2025; n=400. Margin of error ±5% at 95% confidence. Balanced across gender, race, income, education, urban/suburban/rural, age, and life stage; respondents skew slightly toward people managing chronic conditions.
Adoption hinges on control. Give people agency, transparency, and a path to a human—and they’ll lean in.
Findings
Types of health information people would be willing to share with an AI-powered tool in healthcare
Symptoms (78%), current medications (73%), and medical history (69%).
Top ways to increase trust in an AI-powered tool in healthcare
Transparency (66%), doctor certification (63%), and data rights (63%).
Top features people want from an AI-powered tool in healthcare
Data rights (69%), connection to their doctor/provider (65%), and Human fallback (61%).
So what? Don’t bury controls. Feature them. “Safe by default” earns participation.
Takeaways for Tom
- Most patients are willing to share core health data like symptoms, diagnoses, lab results, medications, and history — but fewer are comfortable sharing insurance information, mental health data, or wearable/lifestyle streams, signaling a need to build trust in more personal data categories.
- Trust in AI healthcare tools depends on three factors: transparency, validation, and control. Technical excellence alone isn’t enough – users want ethical clarity, human backup, and accountability built into AI health experiences.
- Users want to be able to opt out and delete their data and want AI to integrate into their healthcare systems (connection to their doctor/provider and EHR integration). Human backup and error correction are also top priorities (60%), showing the value of shared intelligence between patients and clinicians.
Research facilitation provided by Savvy Cooperative.
