{"id":5318,"date":"2025-05-15T14:12:27","date_gmt":"2025-05-15T14:12:27","guid":{"rendered":"https:\/\/friscotimes.org\/?p=5318"},"modified":"2025-07-20T14:44:09","modified_gmt":"2025-07-20T14:44:09","slug":"health-care-ai-has-a-trust-gap-heres-how-to-bridge-it","status":"publish","type":"post","link":"https:\/\/friscotimes.org\/?p=5318","title":{"rendered":"Health-care AI has a trust gap. Here’s how to bridge it"},"content":{"rendered":"\n

In health care, the promise of speed is powerful\u2014but it\u2019s trust that makes real progress possible. Artificial intelligence is already unlocking new capabilities in care delivery, from streamlining workflows to spotting patterns clinicians can\u2019t always see. But as adoption accelerates, one challenge remains: ensuring AI technologies are trusted by the people who rely on them every day.<\/p>\n

\n

This finding is central to the 2025 Philips Future Health Index (FHI) report<\/a>\u2014our 10th annual survey of health-care leaders, providers, and patients worldwide. And this year, the message is clear: Trust is key to using AI to deliver better care for more people.<\/p>\n

Across 16 countries, we interviewed nearly 2,000 health-care professionals and over 16,000 patients. In the U.S., where health-care AI adoption is growing, clinicians are optimistic\u201463% believe AI can improve patient outcomes. But only 48% of U.S. patients feel the same, reflecting a broader trust gap we observed across markets.<\/p>\n

This trust divide has consequences. If clinicians lack confidence, innovation stalls. If patients are hesitant, adoption slows. In both cases, the real cost is time\u2014time that today\u2019s strained health systems cannot afford to lose.<\/p>\n

Reclaiming time for patient care<\/h2>\n

As a physician, I\u2019ve seen the real-world impact of delayed care\u2014and I\u2019m not alone. According to the 2025 FHI, 83% of U.S. health-care professionals say they lose clinical time due to incomplete or inaccessible patient data, with two in five (44%) losing 45 minutes or more per shift.<\/p>\n

These aren\u2019t abstract challenges\u2014they\u2019re daily barriers to delivering quality care. And they\u2019re addressable. But only if we accelerate the adoption of technologies that improve both the care experience and patient outcomes.<\/p>\n

That\u2019s where AI comes in\u2014as a system-level catalyst that enhances care delivery. The health-care professionals we surveyed recognize that potential: 85% believe AI can help reduce administrative burden and overtime, while 74% say it could elevate staff skills and improve patient access.<\/p>\n

From detecting subtle patterns in imaging to streamlining documentation, AI can free up what matters most: the time, attention and energy providers need to care for their patients. But to scale those benefits, we must first bridge the trust gap in health-care AI.<\/p>\n

Defining trustworthy AI in health care<\/h2>\n

So what does trustworthy AI actually look like? It\u2019s transparent, not opaque. It integrates seamlessly into clinical workflows instead of disrupting them. Most of all, it keeps people\u2014providers and patients\u2014at the center.<\/p>\n

According to the 2025 FHI, doctors are the information source that would make patients feel most comfortable about the use of AI in their health care, with 79% saying so. That\u2019s a powerful insight\u2014and a reminder that earning patient trust starts by earning clinician trust first. When providers feel confident using AI, they can explain it clearly, use it responsibly, and help their patients feel comfortable with it too.<\/p>\n

Technology should augment human expertise\u2014not replace it. That\u2019s why AI solutions should be co-developed with clinicians and health systems to ensure they\u2019re designed for real-world use.<\/p>\n

Delivering better care for more people<\/h2>\n

For health-care leaders weighing where to invest limited resources, the path forward isn\u2019t always clear. But inaction comes at a cost. Delaying AI adoption doesn\u2019t just slow innovation\u2014it risks widening gaps in care and further straining a workforce already under pressure.<\/p>\n

To close the trust gap and unlock AI\u2019s full potential, three priorities must guide the way forward:<\/p>\n

Human-led design.<\/strong> Health-care AI should be shaped by the people who use it\u2014providers and patients alike. That means designing solutions that fit naturally into existing workflows, amplify clinical expertise, and meaningfully improve care delivery.<\/p>\n

Proven performance\u2014in real-world settings<\/strong>. <\/strong>Trust starts with results. AI must be safe, effective, and unbiased\u2014designed with clinicians, tested across patient groups, and backed by clear evidence. That\u2019s how we build confidence and ensure AI improves care for all.<\/p>\n

Cross-sector collaboration.<\/strong> Trust in health-care AI can\u2019t be built in silos. It takes close collaboration with clinicians, tech partners, policymakers, and patients to design solutions that truly work. We also need clear, consistent guidelines to move forward confidently and bring trusted AI to the point of care.<\/p>\n

The future of health care isn\u2019t just about delivering care faster. It\u2019s about delivering better care for more people\u2014care that\u2019s more connected, more personal, and built on trust. The need is real, and the time is now. Let\u2019s build that future together.<\/p>\n

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of <\/em>Fortune.<\/em><\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

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