Artificial intelligence is part of the fabric of healthcare. More than 80% of physicians use AI with patients, and many hospitals and health insurance companies also use it.

Artificial intelligence is part of the fabric of healthcare. More than 80% of physicians use AI with patients, and many hospitals and health insurance companies also use it.

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“Is it OK if I turn on the AI tool to take notes? It will help me pay better attention to our conversation,” her doctor said. The patient agreed; the doctor clicked a box, and the visit began.

This patient is a colleague of mine, and when she recounted the situation to me, she said she felt pressured to say yes. She didn’t want to slow the visit down or disappoint her doctor. And, it turns out, she’s not alone.

More than 80% of physicians use some sort of artificial intelligence tool in their professional work with patients. So do many hospitals and health insurance companies, which means AI is now woven into the fabric of the healthcare system. But it comes at a cost.

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A recent Blue Cross Blue Shield report found that hospitals and health insurers are battling it out with their opposing uses of AI. Programs that can increase health system coding and reimbursement are met by sophisticated systems to find issues with claims or expedite their review, potentially denying care. These technologies contributed nearly $1 billion in increased healthcare spending from 2023 to 2025.

As a physician, I understand that whether or not patients have agreed to it, they’re already paying for the artificial intelligence tools in doctors’ offices and hospitals. They’re also too often powerless to decide what part AI takes in their care and reap little direct benefit from it. This power differential must shift.

Patients want to know how AI systems collect information, how their health data is being used and stored and how these tools impact their care. Unfortunately, the way that doctors and hospitals share this information with patients varies widely and is often short on the details that patients need to make fully informed decisions about consent. Perhaps this is why two-thirds of adults have low trust in the use of AI by our healthcare system.

Hospitals and operating rooms across the country have already turned on ambient listening to ease the burden on nurses, doctors and surgeons. This helps healthcare teams capture notes, diagnosis codes and other information in the electronic health record. And hospitals get paid more when more complex and detailed information is submitted to insurance companies.

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This also may mean that when someone walks into the hospital, they must consent to this technology being always-on if they want care. Imagine feeling sick enough to go to an emergency room only to be asked upon entry to decide if artificial intelligence can listen in, or if you’d like to “opt-out.”

This may be particularly challenging during a moment of crisis, though my colleague’s experience speaks to how difficult it can be even during a scheduled outpatient clinic visit.

It’s not just in the care delivery system. Eighty-four percent of health insurance companies use AI tools to support their operations, including claims payment functions, utilization review or prior authorizations or to interface with their members. Until recently, the cost of this technology has been difficult to track, as it doesn’t neatly fit into the usual healthcare payment models or reporting parameters.

Despite its cost and ubiquitous presence, there is little evidence to show that patients benefit from AI. While clinicians, who use AI tools for most of their visits, may save about 15 minutes each day on documentation, this doesn’t neatly translate to more time with patients.

On the other hand, there is some evidence to suggest that AI tools can reduce clinician burnout, which is critical to maintaining a stretched-thin healthcare workforce. Clinicians may feel they are better able to engage with and listen to patients during visits thanks to AI in the exam room. This has an important potential impact on workforce satisfaction and sustainability.

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But when a patient seeks care from a doctor, needs to get an insurance claim paid or walks into an emergency room feeling ill, there is a power differential. If patients are to benefit from AI, they must be empowered to proactively use it to their advantage.

State policymakers should require health centers and health plans to rebalance their investments in AI with patients at the center, helping them to navigate the complexity of the U.S. healthcare and insurance systems. 

The National Academy of Medicine’s framework for AI to improve health literacy and empower patients is a critical starting point. While health systems and insurance companies have used AI to bolster their own finances, patients can become their own advocates by using AI for bill review or filing appeals and grievances to ensure their care is paid for.

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Patients can also benefit from using AI to prepare for visits, draft questions about their diagnoses or medications and communicate with their healthcare teams. This can enable them to take a more active role in their healthcare.

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AI is here, everyone’s already paying for it, and it’s time for healthcare companies and insurers to put patients at the center of this new paradigm. 

Dr. Barbara Rubino is the associate chief medical officer at Covered California and a Public Voices Fellow on Public Health with the OpEd Project and Blue Shield of California Foundation.