PHILADELPHIA, PA — A new study from Qlik® highlights Americans’ mixed feelings about sharing health data and the role of artificial intelligence (AI) in healthcare. While 69% of respondents are willing to share their health data for improved personal care, only 40% are comfortable sharing the same data with tech companies for AI-driven purposes. These findings underscore the considerable trust deficit surrounding corporate use of private health information.
The survey, conducted among 2,002 employed Americans, revealed several key insights into public attitudes toward health data and AI in medicine. Notably, the study found that public trust favors doctors and human oversight over machine-based decision-making. While 71% of participants rejected the idea of prescriptions written solely by AI, 63% were more accepting of AI-assisted decisions when paired with human clinicians.
Generational differences also emerged. Over half of Gen Z adults (50%) expressed trust in government usage of their health data for policy-making purposes. By contrast, only 36% of seniors felt the same, reflecting varying levels of confidence in oversight and governance in digital healthcare initiatives.
“AI in healthcare can only succeed when patients and clinicians remain at the center of every decision,” said Mike Capone, CEO of Qlik. “Qlik empowers healthcare organizations to govern, integrate, and harness their data responsibly—enabling trusted insights and more confident, data-driven care. With transparency and clear consent, we can help ensure that AI enhances, rather than erodes, trust in healthcare.”
The study also highlighted a notable disconnect in attitudes toward insurers and the perceived impact of AI. While 41% of respondents believed insurers already use their data, only 34% reported seeing tangible improvements in care resulting from AI. This skepticism may challenge broader adoption of health-focused AI technologies in the future.
Additionally, the unique priorities of consumers were evident. Americans said they were more likely to donate blood (52%) than donate their health data (24%), signaling deeply entrenched privacy concerns. Despite these reservations, nearly 60% of respondents indicated they would share their health data if adequately compensated, underscoring the need for transparent, value-driven models that incentivize data-sharing.
Qlik’s findings spotlight the critical balance required to integrate AI into healthcare responsibly. By prioritizing trust, clear communication, and patient-centric practices, the industry has the opportunity to leverage AI in ways that genuinely enhance care outcomes while fostering public confidence.
The survey was conducted by Censuswide Research in April 2025 and included responses from employed U.S. adults aged 18 and over.
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