{"id":612410,"date":"2026-07-30T21:57:08","date_gmt":"2026-07-30T21:57:08","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/612410\/"},"modified":"2026-07-30T21:57:08","modified_gmt":"2026-07-30T21:57:08","slug":"chatgpt-claude-and-other-ai-are-transforming-health-care-here-is-what-you-should-ask-your-doctor","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/612410\/","title":{"rendered":"ChatGPT, Claude and other AI are transforming health care. Here is what you should ask your doctor."},"content":{"rendered":"

AI is the hottest thing in medical care right now \u2014 but many of us feel trepidation about it. Just one illustrative public survey sample: An October 2025 KFF poll found<\/a> just 8 percent of Americans reported feeling a \u201cgreat deal\u201d of trust in AI managing their appointments or analyzing their health records, and only 32 percent said they would trust an online health tool that uses AI to access their medical records to provide personalized health information.<\/p>\n

But many clinicians and healthcare administrators see AI as a powerful new tool that offers myriad opportunities to streamline and improve treatment. A 2026 survey found<\/a> that more than 80 percent of US doctors use AI professionally \u2014 doubling the share from 2023. Physicians are excited by AI\u2019s potential to keep more accurate notes of interactions with patients, to act as a second pair of eyes for human doctors, and to monitor people at risk of deteriorating and ending up in a dangerous situation.<\/p>\n

The disconnect between what people and their providers want from AI could create more distrust, at a time when faith in the healthcare system and the medical profession have slid. Patients today want to feel empowered and in control<\/a>. How can that be possible when these seemingly godlike machines are becoming more and more entrenched in our hospitals and doctors offices?<\/p>\n

The answer comes in four words: \u201chuman in the loop.\u201d<\/a> It\u2019s the principle upon which the ethical integration of AI depends and it could help to bridge the gap between lay people and the professionals on AI in medicine. In surveys<\/a>, people are much more comfortable with the idea of their doctor using AI as an assistant than with AI acting on its own. And most clinicians want to use AI in that way, as a second opinion or passive monitor, not as a replacement for their judgment. There are real fears among the healthcare workforce about that possibility: A group of NYC nurses who were recently laid off<\/a> claim it\u2019s because their labor was going to be replaced by AI. \u201cHuman in the loop\u201d appears to be a point of agreement between doctors and patients at this pivotal moment.<\/p>\n

\u201cDoctors\u2026and nurses and staff always have been interested in primarily making the best decision for the people under their care \u2014 and these tools can help with that,\u201d Alison Callahan, a research scientist at Stanford University who works on AI programs used in the university\u2019s health system, told me. \u201cThe interest in making sure those tools are accurate is high.\u201d<\/p>\n

But what does \u201chuman in the loop\u201d really mean in practice? How can you know when and how your doctor is using AI? And what is the best way to talk to your provider about the sudden influx of artificial intelligence in healthcare before a robot starts taking appointment notes or analyzing your MRI? I called some leading experts to find out.<\/p>\n

How AI is currently being used in medicine<\/p>\n

Patients and providers alike are incorporating AI into healthcare. Individuals are using commercial AI chatbots to ask about their symptoms or the health metrics tracked by their Apple Watch<\/a>, while large academic medical centers are developing sophisticated programs and protocols to try to improve medical care at the population level.<\/p>\n

It starts with ChatGPT, Claude, etc. \u2014 the large language models that are available to the public. People are increasingly turning to them to try to understand what\u2019s going on with their own bodies. Individual physicians are also consulting with large language models to answer questions or get up-to-date on the latest research as they figure out how to best care for their patients.<\/p>\n

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Then there are ways in which hospitals and doctors offices are adopting AI at the institutional level. Many facilities are using AI as a way to take, collate, and summarize notes on a patient; in theory, it\u2019s a more organized way to keep track of the informal interactions and observations that doctors have when checking on their own patients. Hospitals are also using AI to handle some administrative tasks, like scheduling follow-up appointments; some health systems have even started to use AI to help patients get ready for appointments \u2014 to send reminders about colonoscopy prep, for example.<\/p>\n

And finally, you have maybe the most ambitious use of AI by health systems right now: as a diagnostic and risk prediction tool. In these cases, AI might offer a second opinion<\/a> when, for example, a doctor is triaging a patient in the emergency room<\/a>. It might help the ER staff figure out how to prioritize patients. Or these programs could monitor people either during a hospital stay or out in the real world (by drawing data from the person\u2019s wearable) and make predictions about who may be at higher risk of complications and require further care. AI could recommend that somebody would benefit from seeing certain specialists or receiving a specific medicine or lab test, and generally offer proactive advice about the patient\u2019s medical care.<\/p>\n

But at this point, AI adoption is still \u201chighly localized,\u201d said Jennifer Goldsack, CEO of the Digital Medicine Society, a nonprofit that works with healthcare providers, drug makers, and government agencies on how to incorporate new tech (including AI) into clinical care. It depends on the individual doctor or health system. A lot of them are setting up their own programs and their own protocols for how to use these tools.<\/p>\n

That is a big reason why it is so important for patients to be proactive about understanding how AI is being used for their health care. You can\u2019t make assumptions; the only way you\u2019re going to know for sure is to ask.<\/p>\n

The questions you should ask your doctor about AI<\/p>\n

By and large, experts say, patients should feel confident: Doctors and nurses want to keep a human in the loop, even as they integrate AI into their workflows.<\/p>\n

\u201cIt will be a doctor who is going to be reading that summary or a nurse who is going to be reading that summary and then taking an action to order a lab or put a recommendation in for a follow-up appointment,\u201d Callahan said. \u201cThere is high interest in making sure that that is the right decision for that person. That hasn\u2019t changed.\u201d<\/p>\n

Still, many patients say<\/a> they\u2019d be more comfortable with AI use if their doctor fully explained it in advance. And health systems may have their own priorities<\/a> that push their facilities toward more rapid AI adoption and delegating more tasks to these AI tools, as seen in the recent NYC nurse layoffs.<\/p>\n

So if you want to be informed on exactly where this technology is present and have the ability to consent to its use, you have every right to ask your doctor, experts say.<\/p>\n

\u201cAI is new, but the trust that serves as the foundation of the physician-patient relationship is not,\u201d Timothy Keyes, a machine learning scientist at Stanford Health Care, told me over email. \u201cTo that end, I think that conversations about medical AI use should be open, honest, and transparent \u2014 just like any other conversations about shared decision-making in the clinical environment should be.\u201d<\/p>\n

For some things, your doctor should be asking you proactively if you consent to AI use \u2014 note-taking, for example. At my most recent primary care appointment, my doctor asked me if it\u2019d be okay for him to use AI to take and summarize notes from our conversation; Goldstack told me she\u2019d experienced the same at recent physician visits. (This is probably the most common AI use that you will encounter, and Keyes said it\u2019s worth considering giving your consent: \u201cThere is growing evidence that they reduce physician burnout and save them at least a bit of time each day writing notes.\u201d)<\/p>\n

There are also a number of direct questions that you can ask:<\/p>\n